From d314f83d2f0a8063e79753a90978cb00da907ebd Mon Sep 17 00:00:00 2001 From: MorganneDeWitte Date: Tue, 2 Jul 2024 10:05:10 +0200 Subject: [PATCH 1/9] Add smartphone brand preferences dataset --- .../smartphone_brand_preferences/dataset.csv | 265 ++++++++++++++++++ .../dataset_discretized.csv | 259 +++++++++++++++++ .../target_values_semantics_en.csv | 131 +++++++++ .../target_values_semantics_es.csv | 132 +++++++++ .../values_semantics_en.csv | 27 ++ .../values_semantics_es.csv | 27 ++ 6 files changed, 841 insertions(+) create mode 100644 xaiographs/datasets/data/smartphone_brand_preferences/dataset.csv create mode 100644 xaiographs/datasets/data/smartphone_brand_preferences/dataset_discretized.csv create mode 100644 xaiographs/datasets/data/smartphone_brand_preferences/target_values_semantics_en.csv create mode 100644 xaiographs/datasets/data/smartphone_brand_preferences/target_values_semantics_es.csv create mode 100644 xaiographs/datasets/data/smartphone_brand_preferences/values_semantics_en.csv create mode 100644 xaiographs/datasets/data/smartphone_brand_preferences/values_semantics_es.csv diff --git a/xaiographs/datasets/data/smartphone_brand_preferences/dataset.csv b/xaiographs/datasets/data/smartphone_brand_preferences/dataset.csv new file mode 100644 index 0000000..15c938e --- /dev/null +++ b/xaiographs/datasets/data/smartphone_brand_preferences/dataset.csv @@ -0,0 +1,265 @@ +brand,model,internal memory,performance,main camera,selfie camera,battery size,screen size,weight,price,release date,age,gender,occupation +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,38,Female,Data analyst +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,38,Female,Data analyst +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,31,Female,sales +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,31,Female,sales +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,27,Female,Team leader +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,27,Female,Team leader +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,27,Female,Team leader +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,39,Male,QA Software Manager +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,39,Male,QA Software Manager +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,30,Female,Healthcare +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,30,Female,Healthcare +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,30,Female,Healthcare +Motorola,Moto G Stylus (2022),128,2.3,50,16,5000,6.8,215,500,27/04/2022,30,Female,Healthcare +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,30,Female,Healthcare +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,30,Female,Healthcare +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,42,Male,executive +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,50,Female,manager +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,25,Male,Manager +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,25,Male,worker +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,25,Male,worker +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,25,Male,worker +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,33,Male,Warehousing +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,33,Male,Warehousing +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,33,Male,Warehousing +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,33,Male,Warehousing +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,33,Male,Warehousing +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,33,Female,Sales +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,33,Female,Sales +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,33,Female,Sales +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,28,Male,Information Technology +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,28,Male,Information Technology +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,30,Male,information +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,30,Male,information +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,30,Male,information +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,30,Male,information +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,30,Male,information +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,43,Female,IT +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,43,Female,IT +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,43,Female,IT +Motorola,Moto G Stylus (2022),128,2.3,50,16,5000,6.8,215,500,27/04/2022,43,Female,IT +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,43,Female,IT +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,32,Male,Administrator +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,32,Male,Administrator +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,32,Male,Administrator +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,32,Male,Administrator +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,32,Male,Administrator +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,32,Male,Administrator +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,37,Female,EDUCATION +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,37,Female,homemaker +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,37,Female,homemaker +Motorola,Moto G Stylus (2022),128,2.3,50,16,5000,6.8,215,500,27/04/2022,50,Female,manager +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,50,Female,manager +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,38,-Select Gender-,ADMINISTRATIVE OFFICER +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,38,-Select Gender-,ADMINISTRATIVE OFFICER +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,32,Male,manager +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,32,Male,manager +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,32,Male,manager +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,32,Male,Information technology +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,32,Male,Information technology +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,32,Male,Information technology +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,31,Male,construction +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,50,Male,Manager +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,50,Male,Manager +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,50,Male,Manager +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,50,Male,Manager +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,35,Male,team leader +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,48,Male,IT +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,48,Male,IT +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,48,Male,IT +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,38,Female,IT +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,38,Female,IT +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,30,Female,Administrative officer +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,30,Female,Administrative officer +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,30,Female,Administrative officer +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,29,Male,Information Technology +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,29,Male,Information Technology +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,29,Male,Information Technology +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,29,Male,Information Technology +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,29,Male,Information Technology +Motorola,Moto G Play (2021),32,1.42,13,5,5000,6.5,204,159,14/01/2021,29,Female,Information Technology +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,29,Female,Information Technology +Motorola,Moto G Stylus (2022),128,2.3,50,16,5000,6.8,215,500,27/04/2022,29,Female,Information Technology +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,29,Female,Information Technology +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,58,Male,ADMINISTRATIVE OFFICER +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,58,Male,ADMINISTRATIVE OFFICER +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,58,Male,ADMINISTRATIVE OFFICER +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,31,Male,construction +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,32,Female,registered +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,32,Female,registered +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,56,Male,business +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,56,Male,business +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,56,Male,business +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,56,Male,business +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,33,Male,Transportation +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,33,Male,Transportation +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,33,Male,Transportation +Motorola,Moto G Stylus (2022),128,2.3,50,16,5000,6.8,215,500,27/04/2022,33,Male,Transportation +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,33,Male,Education +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,45,Female,MANAGER +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,58,Male,ADMINISTRATIVE OFFICER +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,58,Male,ADMINISTRATIVE OFFICER +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,58,Male,ADMINISTRATIVE OFFICER +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,40,Female,Information Technology +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,40,Female,Information Technology +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,40,Female,Information Technology +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,40,Female,Information Technology +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,25,Female,software developer +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,25,Female,Manager +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,25,Female,Manager +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,25,Female,Manager +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,23,Male,worker +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,23,Male,worker +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,23,Male,worker +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,23,Male,worker +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,23,Male,worker +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,23,Male,worker +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,23,Male,worker +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,33,Female,Sales +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,61,Female,Ops Manager +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,61,Female,Ops Manager +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,42,Male,banking +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,25,Male,Manager +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,25,Male,Manager +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,25,Male,Manager +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,25,Male,Manager +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,32,Male,manager +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,32,Male,manager +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,27,Female,Information Technology +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,27,Female,Information Technology +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,27,Female,Information Technology +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,27,Female,Information Technology +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,27,Female,Information Technology +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,61,Female,Information Technology +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,61,Female,Information Technology +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,61,Female,Information Technology +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,61,Female,Information Technology +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,31,Female,Data analyst +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,31,Female,Data analyst +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,31,Female,Data analyst +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,31,Female,Data analyst +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,30,Female,Security +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,30,Female,Security +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,39,Female,master degree +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,39,Female,master degree +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,38,-Select Gender-,Manager +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,38,-Select Gender-,Manager +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,38,-Select Gender-,Manager +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,38,-Select Gender-,Manager +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,27,Female,Information Technology +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,27,Female,Information Technology +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,27,Female,Information Technology +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,27,Female,Information Technology +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,27,Female,Information Technology +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,30,Male,Security +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,30,Male,Security +Motorola,Moto G Stylus (2022),128,2.3,50,16,5000,6.8,215,500,27/04/2022,41,Male,MANAGER +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,41,Male,MANAGER +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,41,Male,MANAGER +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,41,Male,MANAGER +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,41,Male,MANAGER +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,41,Male,MANAGER +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,28,Female,Accountant +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,57,Female,it +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,57,Female,it +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,57,Female,it +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,25,Female,Technical Engineer +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,25,Female,Technical Engineer +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,25,Female,Technical Engineer +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,25,Female,Technical Engineer +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,25,Female,Technical Engineer +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,32,Male,teacher +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,32,Male,teacher +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,49,Female,president transportation company +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,32,Male,manager +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,32,Male,manager +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,32,Male,manager +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,25,Male,software developer +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,25,Male,software developer +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,25,Male,software developer +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,25,Male,software developer +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,25,Male,software developer +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,25,Male,software developer +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,46,Male,Administrative officer +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,37,Female,SALES MANAGER +Motorola,Moto G Stylus (2022),128,2.3,50,16,5000,6.8,215,500,27/04/2022,37,Female,SALES MANAGER +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,37,Female,SALES MANAGER +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,37,Female,SALES MANAGER +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,37,Female,SALES MANAGER +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,42,Female,Purchase Manager +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,42,Female,Purchase Manager +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,42,Female,Purchase Manager +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,46,Male,writer +Samsung,Galaxy S22,128,8.81,50,10,3700,6.1,167,528,25/02/2022,35,Male,HEALTHARE +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,35,Male,HEALTHARE +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,39,Male,Computer technician +Google,Pixel 6a,128,6.88,12,8,4410,6.1,178,449,21/07/2021,34,Male,ICT Officer +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,34,Male,ICT Officer +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,48,Male,IT +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,48,Male,IT +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,25,Female,System Administrator +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,25,Female,System Administrator +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,25,Female,System Administrator +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,25,Female,System Administrator +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,29,Female,Information Technology +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,29,Female,Information Technology +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,29,Female,Information Technology +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,29,Female,Information Technology +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,32,Male,manager +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,32,Male,manager +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,32,Male,manager +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,37,Female,SALES MANAGER +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,25,Male,software developer +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,25,Male,software developer +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,25,Male,software developer +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,25,Male,software developer +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,25,Male,software developer +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,55,Female,IT +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,28,Female,FINANCE +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,28,Female,FINANCE +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,28,Female,FINANCE +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,28,Female,FINANCE +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,28,Female,FINANCE +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,30,Female,Security +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,30,Female,Security +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,30,Female,Security +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,32,Male,Information technology +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,32,Male,Information technology +Apple,iPhone SE (2022),128,7.23,12,7,2018,4.7,144,429,18/03/2022,32,Male,Information technology +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,32,Male,Information technology +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,42,Female,Manager +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,25,Male,Executive Manager +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,25,Male,Executive Manager +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,40,Female,team worker in it +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,40,Female,team worker in it +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,29,Female,Finance +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,29,Female,Finance +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,29,Female,Finance +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,46,Male,technician +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,46,Male,technician +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,32,Male,manager +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,32,Male,manager +Xiaomi,Redmi Note 11,128,2.44,50,13,5000,6.4,179,174,09/02/2022,32,Male,manager +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,25,Female,Manager +Xiaomi,Poco F4,128,6.98,64,20,4500,6.6,195,428,27/07/2022,25,Female,Manager +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,25,Female,Manager +Google,Pixel 6 ProA,128,7.19,50,11,5003,6.7,210,699,28/10/2021,25,Female,Manager +Motorola,Moto G Pure,32,1.02,13,5,4000,6.5,188,129,14/10/2021,34,Male,WEB DESIGN +Apple,iPhone 13 Mini,128,7.72,12,12,2438,5.4,141,699,24/09/2021,34,Male,WEB DESIGN +Samsung,Galaxy S22 Ultra,128,9.68,108,40,5000,6.8,228,840,25/02/2022,34,Male,WEB DESIGN +Apple,iPhone 13,128,7.75,12,12,3240,6.1,174,699,24/09/2021,34,Male,WEB DESIGN +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,35,Male,HEALTHCARE +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,49,Male,Information Technology +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,49,Male,Information Technology +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,49,Male,Information Technology +Motorola,Moto G Stylus (2022),128,2.3,50,16,5000,6.8,215,500,27/04/2022,50,Female,manager +Xiaomi,11T Pro,256,7.59,108,16,5000,6.6,204,435,05/10/2021,50,Female,manager +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,50,Female,manager +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,29,Male,Information Technology +Motorola,Moto G Power (2022),64,1.35,50,8,5000,6.5,203,189,22/02/2022,29,Male,Information Technology +Google,Pixel 6 A,128,6.76,50,8,4614,6.4,207,499,28/10/2021,29,Male,Information Technology +Samsung,Galaxy S22 Plus,128,7.22,50,10,4500,6.6,195,899,25/02/2022,29,Male,Information Technology +Samsung,Galaxy Z Fold 3,256,6.35,12,4,4400,7.6,271,1799,11/08/2021,29,Male,Information Technology +Apple,iPhone 13 Pro,256,7.94,12,12,3065,6.1,204,999,24/09/2021,56,Female,retail +Apple,iPhone 13 Pro Max,256,8.01,12,12,4352,6.7,240,1199,24/09/2021,56,Female,retail diff --git a/xaiographs/datasets/data/smartphone_brand_preferences/dataset_discretized.csv b/xaiographs/datasets/data/smartphone_brand_preferences/dataset_discretized.csv new file mode 100644 index 0000000..1445300 --- /dev/null +++ b/xaiographs/datasets/data/smartphone_brand_preferences/dataset_discretized.csv @@ -0,0 +1,259 @@ +id,internal memory,performance,main camera,selfie camera,battery size,screen size,weight,price,age,gender,occupation,y_true,y_predict,Apple,Google,Motorola,Samsung,Xiaomi +0,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Female,Technology,Samsung,Apple,1,0,0,0,0 +1,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,35_45_years,Female,Technology,Apple,Apple,1,0,0,0,0 +2,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,25_35_years,Female,Business,Google,Google,0,1,0,0,0 +3,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,25_35_years,Female,Business,Samsung,Samsung,0,0,0,1,0 +4,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Female,Administration,Google,Google,0,1,0,0,0 +5,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Female,Administration,Motorola,Motorola,0,0,1,0,0 +6,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Administration,Apple,Apple,1,0,0,0,0 +7,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Male,Administration,Samsung,Samsung,0,0,0,1,0 +8,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Male,Administration,Apple,Apple,1,0,0,0,0 +9,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Female,Other,Motorola,Motorola,0,0,1,0,0 +10,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Other,Samsung,Samsung,0,0,0,1,0 +11,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Female,Other,Motorola,Motorola,0,0,1,0,0 +12,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Female,Other,Motorola,Motorola,0,0,1,0,0 +13,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Female,Other,Xiaomi,Xiaomi,0,0,0,0,1 +14,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +15,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Male,Business,Apple,Apple,1,0,0,0,0 +16,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,>45_years,Female,Business,Apple,Apple,1,0,0,0,0 +17,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,<25_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +18,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,<25_years,Male,Administration,Motorola,Motorola,0,0,1,0,0 +19,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,<25_years,Male,Administration,Motorola,Motorola,0,0,1,0,0 +20,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,<25_years,Male,Administration,Apple,Apple,1,0,0,0,0 +21,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Male,Other,Motorola,Motorola,0,0,1,0,0 +22,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,25_35_years,Male,Other,Motorola,Motorola,0,0,1,0,0 +23,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Male,Other,Google,Google,0,1,0,0,0 +24,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +25,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +26,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +27,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +28,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +29,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Male,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +30,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Male,Technology,Google,Google,0,1,0,0,0 +31,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +32,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Male,Technology,Apple,Apple,1,0,0,0,0 +33,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Technology,Apple,Apple,1,0,0,0,0 +34,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Male,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +35,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Male,Technology,Google,Google,0,1,0,0,0 +36,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,35_45_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +37,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Female,Technology,Samsung,Samsung,0,0,0,1,0 +38,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,35_45_years,Female,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +39,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,35_45_years,Female,Technology,Motorola,Samsung,0,0,0,1,0 +40,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,35_45_years,Female,Technology,Xiaomi,Motorola,0,1,0,0,0 +41,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Male,Administration,Google,Google,0,1,0,0,0 +42,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,25_35_years,Male,Administration,Motorola,Motorola,0,0,1,0,0 +43,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,25_35_years,Male,Administration,Google,Google,0,1,0,0,0 +44,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Male,Administration,Xiaomi,Xiaomi,0,0,0,0,1 +45,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,25_35_years,Male,Administration,Samsung,Samsung,0,0,0,1,0 +46,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Administration,Samsung,Samsung,0,0,0,1,0 +47,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,35_45_years,Female,Other,Motorola,Motorola,0,0,1,0,0 +48,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,35_45_years,Female,Other,Xiaomi,Xiaomi,0,0,0,0,1 +49,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,35_45_years,Female,Other,Samsung,Samsung,0,0,0,1,0 +50,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,>45_years,Female,Business,Motorola,Motorola,0,0,1,0,0 +51,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,>45_years,Female,Business,Google,Google,0,1,0,0,0 +54,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Business,Samsung,Samsung,0,0,0,1,0 +55,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,25_35_years,Male,Business,Google,Google,0,1,0,0,0 +56,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Male,Business,Apple,Apple,1,0,0,0,0 +57,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +58,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Male,Other,Xiaomi,Xiaomi,0,0,0,0,1 +59,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,25_35_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +60,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +61,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,>45_years,Male,Other,Motorola,Motorola,0,0,1,0,0 +62,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,>45_years,Male,Other,Apple,Apple,1,0,0,0,0 +63,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,>45_years,Male,Other,Google,Google,0,1,0,0,0 +64,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,>45_years,Male,Other,Xiaomi,Xiaomi,0,0,0,0,1 +65,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +66,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,>45_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +67,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,>45_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +68,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,>45_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +69,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,35_45_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +70,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,35_45_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +71,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Female,Other,Xiaomi,Xiaomi,0,0,0,0,1 +72,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +73,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Other,Samsung,Samsung,0,0,0,1,0 +74,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +75,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Male,Technology,Google,Google,0,1,0,0,0 +76,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Male,Technology,Google,Google,0,1,0,0,0 +77,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +78,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Technology,Apple,Apple,1,0,0,0,0 +79,<=64_GB,Low,<15_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +80,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Female,Technology,Google,Google,0,1,0,0,0 +81,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +82,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,25_35_years,Female,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +83,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,>45_years,Male,Administration,Google,Google,0,1,0,0,0 +84,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Male,Administration,Xiaomi,Xiaomi,0,0,0,0,1 +85,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,>45_years,Male,Administration,Google,Google,0,1,0,0,0 +86,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +87,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Business,Samsung,Samsung,0,0,0,1,0 +88,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Business,Apple,Apple,1,0,0,0,0 +89,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,>45_years,Male,Business,Apple,Apple,1,0,0,0,0 +90,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Male,Business,Xiaomi,Xiaomi,0,0,0,0,1 +91,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Male,Business,Xiaomi,Xiaomi,0,0,0,0,1 +92,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,>45_years,Male,Business,Apple,Apple,1,0,0,0,0 +93,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Male,Other,Google,Google,0,1,0,0,0 +94,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +95,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +96,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Male,Other,Motorola,Motorola,0,0,1,0,0 +97,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Male,Other,Xiaomi,Xiaomi,0,0,0,0,1 +98,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,35_45_years,Female,Other,Apple,Apple,1,0,0,0,0 +99,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,>45_years,Male,Administration,Google,Google,0,1,0,0,0 +100,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Male,Administration,Xiaomi,Xiaomi,0,0,0,0,1 +101,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,>45_years,Male,Administration,Google,Google,0,1,0,0,0 +102,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,35_45_years,Female,Technology,Google,Google,0,1,0,0,0 +103,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,35_45_years,Female,Technology,Google,Google,0,1,0,0,0 +104,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,35_45_years,Female,Technology,Apple,Apple,1,0,0,0,0 +105,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,35_45_years,Female,Technology,Apple,Apple,1,0,0,0,0 +106,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,<25_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +107,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Female,Other,Apple,Apple,1,0,0,0,0 +108,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,<25_years,Female,Other,Xiaomi,Xiaomi,0,0,0,0,1 +109,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,<25_years,Female,Other,Google,Google,0,1,0,0,0 +110,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,<25_years,Male,Administration,Google,Google,0,1,0,0,0 +111,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,<25_years,Male,Administration,Apple,Apple,1,0,0,0,0 +112,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Male,Administration,Apple,Apple,1,0,0,0,0 +113,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,<25_years,Male,Administration,Xiaomi,Xiaomi,0,0,0,0,1 +114,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,<25_years,Male,Administration,Samsung,Samsung,0,0,0,1,0 +115,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Male,Administration,Samsung,Samsung,0,0,0,1,0 +116,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Male,Administration,Samsung,Samsung,0,0,0,1,0 +117,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +118,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,>45_years,Female,Administration,Samsung,Samsung,0,0,0,1,0 +119,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,>45_years,Female,Administration,Xiaomi,Xiaomi,0,0,0,0,1 +120,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Male,Business,Apple,Apple,1,0,0,0,0 +121,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,<25_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +122,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,<25_years,Male,Other,Google,Google,0,1,0,0,0 +123,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,<25_years,Male,Other,Apple,Apple,1,0,0,0,0 +124,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,<25_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +125,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Business,Samsung,Samsung,0,0,0,1,0 +126,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Business,Samsung,Samsung,0,0,0,1,0 +127,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Technology,Samsung,Samsung,0,0,0,1,0 +128,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Technology,Apple,Apple,1,0,0,0,0 +129,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Female,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +130,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Technology,Samsung,Samsung,0,0,0,1,0 +131,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Technology,Samsung,Samsung,0,0,0,1,0 +132,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,>45_years,Female,Technology,Apple,Apple,1,0,0,0,0 +133,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Female,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +134,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Female,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +135,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,>45_years,Female,Technology,Apple,Apple,1,0,0,0,0 +136,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Female,Technology,Apple,Apple,1,0,0,0,0 +137,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Technology,Apple,Apple,1,0,0,0,0 +138,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Female,Technology,Apple,Apple,1,0,0,0,0 +139,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Technology,Apple,Apple,1,0,0,0,0 +140,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +141,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Female,Other,Xiaomi,Xiaomi,0,0,0,0,1 +142,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Female,Other,Apple,Apple,1,0,0,0,0 +143,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,35_45_years,Female,Other,Samsung,Samsung,0,0,0,1,0 +148,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,25_35_years,Female,Technology,Google,Google,0,1,0,0,0 +149,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Technology,Apple,Google,0,1,0,0,0 +150,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Female,Technology,Apple,Google,0,1,0,0,0 +151,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Technology,Samsung,Google,0,1,0,0,0 +152,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,25_35_years,Female,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +153,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +154,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Male,Other,Xiaomi,Google,0,1,0,0,0 +155,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,35_45_years,Male,Other,Motorola,Xiaomi,0,0,0,0,1 +156,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,35_45_years,Male,Other,Xiaomi,Xiaomi,0,0,0,0,1 +157,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,35_45_years,Male,Other,Apple,Apple,1,0,0,0,0 +158,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,35_45_years,Male,Other,Google,Google,0,1,0,0,0 +159,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,35_45_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +160,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,35_45_years,Male,Other,Xiaomi,Xiaomi,0,0,0,0,1 +161,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Female,Business,Samsung,Samsung,0,0,0,1,0 +162,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,>45_years,Female,Other,Samsung,Samsung,0,0,0,1,0 +163,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,>45_years,Female,Other,Apple,Apple,1,0,0,0,0 +164,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,>45_years,Female,Other,Google,Google,0,1,0,0,0 +165,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,<25_years,Female,Technology,Samsung,Samsung,0,0,0,1,0 +166,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,<25_years,Female,Technology,Apple,Apple,1,0,0,0,0 +167,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Female,Technology,Samsung,Samsung,0,0,0,1,0 +168,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,<25_years,Female,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +169,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,<25_years,Female,Technology,Apple,Apple,1,0,0,0,0 +170,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +171,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +172,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Female,Business,Xiaomi,Xiaomi,0,0,0,0,1 +173,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Business,Samsung,Samsung,0,0,0,1,0 +174,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Business,Apple,Apple,1,0,0,0,0 +175,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Business,Samsung,Samsung,0,0,0,1,0 +176,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,<25_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +177,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,<25_years,Male,Technology,Google,Google,0,1,0,0,0 +178,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Male,Technology,Apple,Apple,1,0,0,0,0 +179,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,<25_years,Male,Technology,Apple,Apple,1,0,0,0,0 +180,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,<25_years,Male,Technology,Apple,Apple,1,0,0,0,0 +181,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +182,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,>45_years,Male,Other,Apple,Apple,1,0,0,0,0 +183,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,35_45_years,Female,Business,Apple,Apple,1,0,0,0,0 +184,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,35_45_years,Female,Business,Motorola,Motorola,0,0,1,0,0 +185,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,35_45_years,Female,Business,Samsung,Samsung,0,0,0,1,0 +186,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,35_45_years,Female,Business,Xiaomi,Xiaomi,0,0,0,0,1 +187,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Female,Business,Apple,Apple,1,0,0,0,0 +188,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,35_45_years,Female,Administration,Apple,Apple,1,0,0,0,0 +189,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,35_45_years,Female,Administration,Google,Google,0,1,0,0,0 +190,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,35_45_years,Female,Administration,Samsung,Samsung,0,0,0,1,0 +191,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Male,Other,Xiaomi,Xiaomi,0,0,0,0,1 +192,128_GB,Ultra top,15_50_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Other,Samsung,Samsung,0,0,0,1,0 +193,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +194,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,35_45_years,Male,Technology,Apple,Apple,1,0,0,0,0 +195,128_GB,Mid,<15_MP,<10_MP,4000_4700_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Male,Technology,Google,Google,0,1,0,0,0 +196,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Male,Technology,Google,Google,0,1,0,0,0 +197,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,>45_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +198,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,>45_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +199,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Female,Administration,Apple,Apple,1,0,0,0,0 +200,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,<25_years,Female,Administration,Google,Google,0,1,0,0,0 +201,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Female,Administration,Samsung,Samsung,0,0,0,1,0 +202,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Female,Administration,Samsung,Samsung,0,0,0,1,0 +203,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,25_35_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +204,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +205,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Female,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +206,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Technology,Samsung,Samsung,0,0,0,1,0 +207,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Male,Business,Motorola,Motorola,0,0,1,0,0 +208,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Male,Business,Google,Google,0,1,0,0,0 +209,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Business,Samsung,Samsung,0,0,0,1,0 +210,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,35_45_years,Female,Business,Apple,Apple,1,0,0,0,0 +211,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Male,Technology,Apple,Apple,1,0,0,0,0 +212,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,<25_years,Male,Technology,Apple,Apple,1,0,0,0,0 +213,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,<25_years,Male,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +214,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +215,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,<25_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +216,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,>45_years,Female,Technology,Motorola,Motorola,0,0,1,0,0 +217,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Female,Business,Apple,Samsung,0,0,0,1,0 +218,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Female,Business,Motorola,Motorola,0,0,1,0,0 +219,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Business,Apple,Apple,1,0,0,0,0 +220,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Female,Business,Xiaomi,Xiaomi,0,0,0,0,1 +221,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Business,Samsung,Samsung,0,0,0,1,0 +222,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +223,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,25_35_years,Female,Other,Xiaomi,Xiaomi,0,0,0,0,1 +224,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,25_35_years,Female,Other,Google,Google,0,1,0,0,0 +225,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +226,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,25_35_years,Male,Other,Motorola,Motorola,0,0,1,0,0 +227,128_GB,Mid,<15_MP,<10_MP,<4000_mAh,<6.4_inches,<190_g,200_450_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +228,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,25_35_years,Male,Other,Xiaomi,Apple,1,0,0,0,0 +229,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,35_45_years,Female,Other,Google,Samsung,0,0,0,1,0 +230,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,<25_years,Male,Business,Xiaomi,Xiaomi,0,0,0,0,1 +231,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,<25_years,Male,Business,Google,Apple,1,0,0,0,0 +232,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,35_45_years,Female,Administration,Apple,Apple,1,0,0,0,0 +233,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,35_45_years,Female,Administration,Google,Google,0,1,0,0,0 +234,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Female,Other,Motorola,Motorola,0,0,1,0,0 +235,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Female,Other,Apple,Apple,1,0,0,0,0 +236,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,25_35_years,Female,Other,Samsung,Samsung,0,0,0,1,0 +237,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Male,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +238,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,>45_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +239,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Male,Business,Apple,Apple,1,0,0,0,0 +240,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Business,Samsung,Samsung,0,0,0,1,0 +241,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,<6.4_inches,<190_g,<200_dollars,25_35_years,Male,Business,Xiaomi,Xiaomi,0,0,0,0,1 +242,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,<25_years,Female,Other,Motorola,Motorola,0,0,1,0,0 +243,128_GB,Mid,>50_MP,10_30_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,<25_years,Female,Other,Xiaomi,Xiaomi,0,0,0,0,1 +244,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,<25_years,Female,Other,Xiaomi,Xiaomi,0,0,0,0,1 +245,128_GB,Mid,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,<25_years,Female,Other,Google,Samsung,0,0,0,1,0 +246,<=64_GB,Low,<15_MP,<10_MP,<4000_mAh,6.4_6.6_inches,<190_g,<200_dollars,25_35_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +247,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Technology,Apple,Apple,1,0,0,0,0 +248,128_GB,Ultra top,>50_MP,>30_MP,>4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +249,128_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,<190_g,450_700_dollars,25_35_years,Male,Technology,Apple,Apple,1,0,0,0,0 +250,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Other,Apple,Apple,1,0,0,0,0 +251,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,>45_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +252,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,>45_years,Male,Technology,Google,Google,0,1,0,0,0 +253,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Male,Technology,Xiaomi,Xiaomi,0,0,0,0,1 +254,128_GB,Low,15_50_MP,10_30_MP,>4700_mAh,>6.6_inches,>205_g,450_700_dollars,>45_years,Female,Business,Motorola,Motorola,0,0,1,0,0 +255,>=256_GB,Mid,>50_MP,10_30_MP,>4700_mAh,6.4_6.6_inches,190_205_g,200_450_dollars,>45_years,Female,Business,Xiaomi,Xiaomi,0,0,0,0,1 +256,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,>45_years,Female,Business,Samsung,Samsung,0,0,0,1,0 +257,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,25_35_years,Male,Technology,Apple,Apple,1,0,0,0,0 +258,<=64_GB,Low,15_50_MP,<10_MP,>4700_mAh,6.4_6.6_inches,190_205_g,<200_dollars,25_35_years,Male,Technology,Motorola,Motorola,0,0,1,0,0 +259,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,<6.4_inches,>205_g,450_700_dollars,25_35_years,Male,Technology,Google,Xiaomi,0,0,0,0,1 +260,128_GB,Mid,15_50_MP,<10_MP,4000_4700_mAh,6.4_6.6_inches,190_205_g,>700_dollars,25_35_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +261,>=256_GB,Low,<15_MP,<10_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,25_35_years,Male,Technology,Samsung,Samsung,0,0,0,1,0 +262,>=256_GB,Top,<15_MP,10_30_MP,<4000_mAh,<6.4_inches,190_205_g,>700_dollars,>45_years,Female,Other,Apple,Apple,1,0,0,0,0 +263,>=256_GB,Ultra top,<15_MP,10_30_MP,4000_4700_mAh,>6.6_inches,>205_g,>700_dollars,>45_years,Female,Other,Apple,Apple,1,0,0,0,0 diff --git a/xaiographs/datasets/data/smartphone_brand_preferences/target_values_semantics_en.csv b/xaiographs/datasets/data/smartphone_brand_preferences/target_values_semantics_en.csv new file mode 100644 index 0000000..62e03fe --- /dev/null +++ b/xaiographs/datasets/data/smartphone_brand_preferences/target_values_semantics_en.csv @@ -0,0 +1,131 @@ +target,feature_value,reason +Apple,battery size_4000_4700_mAh,some Apple phones have a battery size between 4000 and 4700 mAh +Apple,battery size_<4000_mAh,many Apple models have batteries smaller than 4000 mAh +Apple,battery size_>4700_mAh,few Apple phones feature batteries larger than 4700 mAh +Apple,internal memory_128_GB,many Apple phones offer 128 GB of internal memory +Apple,internal memory_<=64_GB,entry-level Apple models have 64 GB or less internal memory +Apple,internal memory_>=256_GB,many Apple phones come with 256 GB +Apple,main camera_15_50_MP,some Apple phones have main cameras between 15 and 50 MP +Apple,main camera_<15_MP,many older Apple models have main cameras with less than 15 MP +Apple,main camera_>50_MP,newer Apple models have main cameras with more than 50 MP +Apple,performance_Low,some budget Apple models have low performance +Apple,performance_Mid,many Apple phones offer mid-range performance +Apple,performance_Top,top-tier Apple models provide high performance +Apple,performance_Ultra top,flagship Apple phones deliver ultra top performance +Apple,price_200_450_dollars,Apple offers some phones in the 200 to 450 dollars range +Apple,price_450_700_dollars,many Apple models are priced between 450 and 700 dollars +Apple,price_<200_dollars,very few Apple phones are priced below 200 dollars +Apple,price_>700_dollars,premium Apple models often exceed 700 dollars +Apple,screen size_6.4_6.6_inches,many Apple phones have screens between 6.4 and 6.6 inches +Apple,screen size_<6.4_inches,many Apple models have screens smaller than 6.4 inches +Apple,screen size_>6.6_inches,large Apple phones feature screens larger than 6.6 inches +Apple,selfie camera_10_30_MP,Apple phones typically have selfie cameras between 10 and 30 MP +Apple,selfie camera_<10_MP,entry-level Apple models have selfie cameras with less than 10 MP +Apple,selfie camera_>30_MP,newer Apple models have selfie cameras with more than 30 MP +Apple,weight_190_205_g,some Apple phones weigh between 190 and 205 grams +Apple,weight_<190_g,many Apple models weigh less than 190 grams +Apple,weight_>205_g,larger Apple phones weigh more than 205 grams +Google,battery size_4000_4700_mAh,many Google phones have a battery size between 4000 and 4700 mAh +Google,battery size_<4000_mAh,some Google models have batteries smaller than 4000 mAh +Google,battery size_>4700_mAh,high-end Google phones feature batteries larger than 4700 mAh +Google,internal memory_128_GB,many Google phones offer 128 GB of internal memory +Google,internal memory_<=64_GB,entry-level Google models have 64 GB or less internal memory +Google,internal memory_>=256_GB,premium Google phones come with 256 GB or more internal memory +Google,main camera_15_50_MP,Google phones typically have main cameras between 15 and 50 MP +Google,main camera_<15_MP,older Google models have main cameras with less than 15 MP +Google,main camera_>50_MP,newer Google models have main cameras with more than 50 MP +Google,performance_Low,some budget Google models have low performance +Google,performance_Mid,many Google phones offer mid-range performance +Google,performance_Top,few Google models provide high performance +Google,performance_Ultra top,flagship Google phones deliver ultra top performance +Google,price_200_450_dollars,Google offers some phones in the 200 to 450 dollars range +Google,price_450_700_dollars,many Google models are priced between 450 and 700 dollars +Google,price_<200_dollars,few Google phones are priced below 200 dollars +Google,price_>700_dollars,premium Google models often exceed 700 dollars +Google,screen size_6.4_6.6_inches,some Google phones have screens between 6.4 and 6.6 inches +Google,screen size_<6.4_inches,many Google models have screens smaller than 6.4 inches +Google,screen size_>6.6_inches,large Google phones feature screens larger than 6.6 inches +Google,selfie camera_10_30_MP,some Google phones have selfie cameras between 10 and 30 MP +Google,selfie camera_<10_MP,many Google models have selfie cameras with less than 10 MP +Google,selfie camera_>30_MP,newer Google models have selfie cameras with more than 30 MP +Google,weight_190_205_g,some Google phones weigh between 190 and 205 grams +Google,weight_<190_g,lightweight Google models weigh less than 190 grams +Google,weight_>205_g,many Google phones weigh more than 205 grams +Motorola,battery size_4000_4700_mAh,some Motorola phones have a battery size between 4000 and 4700 mAh +Motorola,battery size_<4000_mAh,some Motorola models have batteries smaller than 4000 mAh +Motorola,battery size_>4700_mAh,many Motorola phones feature batteries larger than 4700 mAh +Motorola,internal memory_128_GB,some Motorola phones offer 128 GB of internal memory +Motorola,internal memory_<=64_GB,many Motorola models have 64 GB or less internal memory +Motorola,internal memory_>=256_GB,few Motorola phones come with 256 GB or more internal memory +Motorola,main camera_15_50_MP,Motorola phones typically have main cameras between 15 and 50 MP +Motorola,main camera_<15_MP,older Motorola models have main cameras with less than 15 MP +Motorola,main camera_>50_MP,newer Motorola models have main cameras with more than 50 MP +Motorola,performance_Low,many budget Motorola models have low performance +Motorola,performance_Mid,some Motorola phones offer mid-range performance +Motorola,performance_Top,some Motorola models provide high performance +Motorola,performance_Ultra top,flagship Motorola phones deliver ultra top performance +Motorola,price_200_450_dollars,Motorola offers phones in the 200 to 450 dollars range +Motorola,price_450_700_dollars,some Motorola models are priced between 450 and 700 dollars +Motorola,price_<200_dollars,many Motorola phones are priced below 200 dollars +Motorola,price_>700_dollars,very few Motorola models often exceed 700 dollars +Motorola,screen size_6.4_6.6_inches,many Motorola phones have screens between 6.4 and 6.6 inches +Motorola,screen size_<6.4_inches,older Motorola models have screens smaller than 6.4 inches +Motorola,screen size_>6.6_inches,large Motorola phones feature screens larger than 6.6 inches +Motorola,selfie camera_10_30_MP,some Motorola phones have selfie cameras between 10 and 30 MP +Motorola,selfie camera_<10_MP,many Motorola models have selfie cameras with less than 10 MP +Motorola,selfie camera_>30_MP,newer Motorola models have selfie cameras with more than 30 MP +Motorola,weight_190_205_g,many Motorola phones weigh between 190 and 205 grams +Motorola,weight_<190_g,lightweight Motorola models weigh less than 190 grams +Motorola,weight_>205_g,larger Motorola phones weigh more than 205 grams +Samsung,battery size_4000_4700_mAh,some Samsung phones have a battery size between 4000 and 4700 mAh +Samsung,battery size_<4000_mAh,some Samsung models have batteries smaller than 4000 mAh +Samsung,battery size_>4700_mAh,some Samsung phones feature batteries larger than 4700 mAh +Samsung,internal memory_128_GB,many Samsung phones offer 128 GB of internal memory +Samsung,internal memory_<=64_GB,entry-level Samsung models have 64 GB or less internal memory +Samsung,internal memory_>=256_GB,some Samsung phones come with 256 GB +Samsung,main camera_15_50_MP,Samsung phones typically have main cameras between 15 and 50 MP +Samsung,main camera_<15_MP,older Samsung models have main cameras with less than 15 MP +Samsung,main camera_>50_MP,newer Samsung models have main cameras with more than 50 MP +Samsung,performance_Low,some budget Samsung models have low performance +Samsung,performance_Mid,some Samsung phones offer mid-range performance +Samsung,performance_Top,some Samsung models provide high performance +Samsung,performance_Ultra top,flagship Samsung phones deliver ultra top performance +Samsung,price_200_450_dollars,Samsung offers phones in the 200 to 450 dollars range +Samsung,price_450_700_dollars,some Samsung models are priced between 450 and 700 dollars +Samsung,price_<200_dollars,very few Samsung phones are priced below 200 dollars +Samsung,price_>700_dollars,many Samsung models often exceed 700 dollars +Samsung,screen size_6.4_6.6_inches,some Samsung phones have screens between 6.4 and 6.6 inches +Samsung,screen size_<6.4_inches,older Samsung models have screens smaller than 6.4 inches +Samsung,screen size_>6.6_inches,many Samsung phones feature screens larger than 6.6 inches +Samsung,selfie camera_10_30_MP,some Samsung phones have selfie cameras between 10 and 30 MP +Samsung,selfie camera_<10_MP,entry-level Samsung models have selfie cameras with less than 10 MP +Samsung,selfie camera_>30_MP,many Samsung models have selfie cameras with more than 30 MP +Samsung,weight_190_205_g,some Samsung phones weigh between 190 and 205 grams +Samsung,weight_<190_g,lightweight Samsung models weigh less than 190 grams +Samsung,weight_>205_g,many Samsung phones weigh more than 205 grams +Xiaomi,battery size_4000_4700_mAh,some Xiaomi phones have a battery size between 4000 and 4700 mAh +Xiaomi,battery size_<4000_mAh,some Xiaomi models have batteries smaller than 4000 mAh +Xiaomi,battery size_>4700_mAh,many Xiaomi phones feature batteries larger than 4700 mAh +Xiaomi,internal memory_128_GB,some Xiaomi phones offer 128 GB of internal memory +Xiaomi,internal memory_<=64_GB,entry-level Xiaomi models have 64 GB or less internal memory +Xiaomi,internal memory_>=256_GB,many Xiaomi phones come with 256 GB +Xiaomi,main camera_15_50_MP,some Xiaomi phones have main cameras between 15 and 50 MP +Xiaomi,main camera_<15_MP,older Xiaomi models have main cameras with less than 15 MP +Xiaomi,main camera_>50_MP,many Xiaomi models have main cameras with more than 50 MP +Xiaomi,performance_Low,some budget Xiaomi models have low performance +Xiaomi,performance_Mid,many Xiaomi phones offer mid-range performance +Xiaomi,performance_Top,few Xiaomi models provide high performance +Xiaomi,performance_Ultra top,few Xiaomi phones deliver ultra top performance +Xiaomi,price_200_450_dollars,Xiaomi offers many phones in the 200 to 450 dollars range +Xiaomi,price_450_700_dollars,few Xiaomi models are priced between 450 and 700 dollars +Xiaomi,price_<200_dollars,some Xiaomi phones are priced below 200 dollars +Xiaomi,price_>700_dollars,very few Xiaomi models often exceed 700 dollars +Xiaomi,screen size_6.4_6.6_inches,many Xiaomi phones have screens between 6.4 and 6.6 inches +Xiaomi,screen size_<6.4_inches,older Xiaomi models have screens smaller than 6.4 inches +Xiaomi,screen size_>6.6_inches,large Xiaomi phones feature screens larger than 6.6 inches +Xiaomi,selfie camera_10_30_MP,Xiaomi phones typically have selfie cameras between 10 and 30 MP +Xiaomi,selfie camera_<10_MP,entry-level Xiaomi models have selfie cameras with less than 10 MP +Xiaomi,selfie camera_>30_MP,newer Xiaomi models have selfie cameras with more than 30 MP +Xiaomi,weight_190_205_g,many Xiaomi phones weigh between 190 and 205 grams +Xiaomi,weight_<190_g,lightweight Xiaomi models weigh less than 190 grams +Xiaomi,weight_>205_g,larger Xiaomi phones weigh more than 205 grams diff --git a/xaiographs/datasets/data/smartphone_brand_preferences/target_values_semantics_es.csv b/xaiographs/datasets/data/smartphone_brand_preferences/target_values_semantics_es.csv new file mode 100644 index 0000000..f0fd444 --- /dev/null +++ b/xaiographs/datasets/data/smartphone_brand_preferences/target_values_semantics_es.csv @@ -0,0 +1,132 @@ +target,feature_value,reason +Apple,battery size_4000_4700_mAh,algunos telfonos de Apple tienen un tamao de batera entre 4000 y 4700 mAh +Apple,battery size_<4000_mAh,muchos modelos de Apple tienen bateras ms pequeas de 4000 mAh +Apple,battery size_>4700_mAh,pocos telfonos de Apple cuentan con bateras mayores de 4700 mAh +Apple,internal memory_128_GB,muchos telfonos de Apple ofrecen 128 GB de memoria interna +Apple,internal memory_<=64_GB,los modelos bsicos de Apple tienen 64 GB o menos de memoria interna +Apple,internal memory_>=256_GB,muchos telfonos de Apple vienen con 256 GB de memoria interna +Apple,main camera_15_50_MP,algunos telfonos de Apple tienen cmaras principales entre 15 y 50 MP +Apple,main camera_<15_MP,muchos modelos antiguos de Apple tienen cmaras principales con menos de 15 MP +Apple,main camera_>50_MP,los modelos ms nuevos de Apple tienen cmaras principales con ms de 50 MP +Apple,performance_Low,algunos modelos econmicos de Apple tienen baja rendimiento +Apple,performance_Mid,muchos telfonos de Apple ofrecen rendimiento de gama media +Apple,performance_Top,los modelos de gama alta de Apple proporcionan alto rendimiento +Apple,performance_Ultra top,los telfonos insignia de Apple ofrecen rendimiento ultra alto +Apple,price_200_450_dollars,Apple ofrece algunos telfonos en el rango de 200 a 450 dlares +Apple,price_450_700_dollars,muchos modelos de Apple tienen precios entre 450 y 700 dlares +Apple,price_<200_dollars,muy pocos telfonos de Apple tienen un precio por debajo de 200 dlares +Apple,price_>700_dollars,los modelos premium de Apple a menudo superan los 700 dlares +Apple,screen size_6.4_6.6_inches,muchos telfonos de Apple tienen pantallas entre 6.4 y 6.6 pulgadas +Apple,screen size_<6.4_inches,muchos modelos de Apple tienen pantallas ms pequeas de 6.4 pulgadas +Apple,screen size_>6.6_inches,los telfonos grandes de Apple tienen pantallas ms grandes de 6.6 pulgadas +Apple,selfie camera_10_30_MP,los telfonos de Apple tpicamente tienen cmaras selfies entre 10 y 30 MP +Apple,selfie camera_<10_MP,los modelos de entrada de Apple tienen cmaras selfies con menos de 10 MP +Apple,selfie camera_>30_MP,los modelos ms nuevos de Apple tienen cmaras selfies con ms de 30 MP +Apple,weight_190_205_g,algunos telfonos de Apple pesan entre 190 y 205 gramos +Apple,weight_<190_g,muchos modelos de Apple pesan menos de 190 gramos +Apple,weight_>205_g,los telfonos grandes de Apple pesan ms de 205 gramos +Google,battery size_4000_4700_mAh,muchos telfonos de Google tienen un tamao de batera entre 4000 y 4700 mAh +Google,battery size_<4000_mAh,algunos modelos de Google tienen bateras ms pequeas de 4000 mAh +Google,battery size_>4700_mAh,los telfonos de alta gama de Google tienen bateras ms grandes de 4700 mAh +Google,internal memory_128_GB,muchos telfonos de Google ofrecen 128 GB de memoria interna +Google,internal memory_<=64_GB,los modelos de entrada de Google tienen 64 GB o menos de memoria interna +Google,internal memory_>=256_GB,los telfonos premium de Google vienen con 256 GB o ms de memoria interna +Google,main camera_15_50_MP,los telfonos de Google tpicamente tienen cmaras principales entre 15 y 50 MP +Google,main camera_<15_MP,los modelos antiguos de Google tienen cmaras principales con menos de 15 MP +Google,main camera_>50_MP,los modelos ms nuevos de Google tienen cmaras principales con ms de 50 MP +Google,performance_Low,algunos modelos econmicos de Google tienen bajo rendimiento +Google,performance_Mid,muchos telfonos de Google ofrecen rendimiento de gama media +Google,performance_Top,pocos modelos de Google proporcionan alto rendimiento +Google,performance_Ultra top,los telfonos insignia de Google ofrecen rendimiento ultra alto +Google,price_200_450_dollars,Google ofrece algunos telfonos en el rango de 200 a 450 dlares +Google,price_450_700_dollars,muchos modelos de Google tienen precios entre 450 y 700 dlares +Google,price_<200_dollars,pocos telfonos de Google tienen un precio por debajo de 200 dlares +Google,price_>700_dollars,los modelos premium de Google a menudo superan los 700 dlares +Google,screen size_6.4_6.6_inches,algunos telfonos de Google tienen pantallas entre 6.4 y 6.6 pulgadas +Google,screen size_<6.4_inches,muchos modelos de Google tienen pantallas ms pequeas de 6.4 pulgadas +Google,screen size_>6.6_inches,los telfonos grandes de Google tienen pantallas ms grandes de 6.6 pulgadas +Google,selfie camera_10_30_MP,algunos telfonos de Google tienen cmaras selfies entre 10 y 30 MP +Google,selfie camera_<10_MP,muchos modelos de Google tienen cmaras selfies con menos de 10 MP +Google,selfie camera_>30_MP,los modelos ms nuevos de Google tienen cmaras selfies con ms de 30 MP +Google,weight_190_205_g,algunos telfonos de Google pesan entre 190 y 205 gramos +Google,weight_<190_g,los modelos ligeros de Google pesan menos de 190 gramos +Google,weight_>205_g,muchos telfonos de Google pesan ms de 205 gramos +Motorola,battery size_4000_4700_mAh,algunos telfonos de Motorola tienen un tamao de batera entre 4000 y 4700 mAh +Motorola,battery size_<4000_mAh,algunos modelos de Motorola tienen bateras ms pequeas de 4000 mAh +Motorola,battery size_>4700_mAh,muchos telfonos de Motorola tienen bateras ms grandes de 4700 mAh +Motorola,internal memory_128_GB,algunos telfonos de Motorola ofrecen 128 GB de memoria interna +Motorola,internal memory_<=64_GB,muchos modelos de Motorola tienen 64 GB o menos de memoria interna +Motorola,internal memory_>=256_GB,pocos telfonos de Motorola vienen con 256 GB o ms de memoria interna +Motorola,main camera_15_50_MP,los telfonos de Motorola tpicamente tienen cmaras principales entre 15 y 50 MP +Motorola,main camera_<15_MP,los modelos antiguos de Motorola tienen cmaras principales con menos de 15 MP +Motorola,main camera_>50_MP,los modelos ms nuevos de Motorola tienen cmaras principales con ms de 50 MP +Motorola,performance_Low,muchos modelos econmicos de Motorola tienen bajo rendimiento +Motorola,performance_Mid,algunos telfonos de Motorola ofrecen rendimiento de gama media +Motorola,performance_Top,algunos modelos de Motorola proporcionan alto rendimiento +Motorola,performance_Ultra top,los telfonos insignia de Motorola ofrecen rendimiento ultra alto +Motorola,price_200_450_dollars,Motorola ofrece telfonos en el rango de 200 a 450 dlares +Motorola,price_450_700_dollars,algunos modelos de Motorola tienen precios entre 450 y 700 dlares +Motorola,price_<200_dollars,muchos telfonos de Motorola tienen precios por debajo de 200 dlares +Motorola,price_>700_dollars,muy pocos modelos de Motorola a menudo superan los 700 dlares +Motorola,screen size_6.4_6.6_inches,muchos telfonos de Motorola tienen pantallas entre 6.4 y 6.6 pulgadas +Motorola,screen size_<6.4_inches,los modelos antiguos de Motorola tienen pantallas ms pequeas de 6.4 pulgadas +Motorola,screen size_>6.6_inches,los telfonos grandes de Motorola tienen pantallas ms grandes de 6.6 pulgadas +Motorola,selfie camera_10_30_MP,algunos telfonos de Motorola tienen cmaras selfies entre 10 y 30 MP +Motorola,selfie camera_<10_MP,muchos modelos de Motorola tienen cmaras selfies con menos de 10 MP +Motorola,selfie camera_>30_MP,los modelos ms nuevos de Motorola tienen cmaras selfies con ms de 30 MP +Motorola,weight_190_205_g,muchos telfonos de Motorola pesan entre 190 y 205 gramos +Motorola,weight_<190_g,los modelos ligeros de Motorola pesan menos de 190 gramos +Motorola,weight_>205_g,los telfonos grandes de Motorola pesan ms de 205 gramos +Samsung,battery size_4000_4700_mAh,algunos telfonos de Samsung tienen un tamao de batera entre 4000 y 4700 mAh +Samsung,battery size_<4000_mAh,algunos modelos de Samsung tienen bateras ms pequeas de 4000 mAh +Samsung,battery size_>4700_mAh,algunos telfonos de Samsung cuentan con bateras mayores de 4700 mAh +Samsung,internal memory_128_GB,muchos telfonos de Samsung ofrecen 128 GB de memoria interna +Samsung,internal memory_<=64_GB,los modelos de entrada de Samsung tienen 64 GB o menos de memoria interna +Samsung,internal memory_>=256_GB,algunos telfonos de Samsung vienen con 256 GB de memoria interna +Samsung,main camera_15_50_MP,los telfonos de Samsung tpicamente tienen cmaras principales entre 15 y 50 MP +Samsung,main camera_<15_MP,los modelos antiguos de Samsung tienen cmaras principales con menos de 15 MP +Samsung,main camera_>50_MP,los modelos ms nuevos de Samsung tienen cmaras principales con ms de 50 MP +Samsung,performance_Low,algunos modelos econmicos de Samsung tienen bajo rendimiento +Samsung,performance_Mid,algunos telfonos de Samsung ofrecen rendimiento de gama media +Samsung,performance_Top,algunos modelos de Samsung proporcionan alto rendimiento +Samsung,performance_Ultra top,los telfonos insignia de Samsung ofrecen rendimiento ultra alto +Samsung,price_200_450_dollars,Samsung ofrece telfonos en el rango de 200 a 450 dlares +Samsung,price_450_700_dollars,algunos modelos de Samsung tienen precios entre 450 y 700 dlares +Samsung,price_<200_dollars,muy pocos telfonos de Samsung tienen un precio por debajo de 200 dlares +Samsung,price_>700_dollars,muchos modelos de Samsung a menudo superan los 700 dlares +Samsung,screen size_6.4_6.6_inches,algunos telfonos de Samsung tienen pantallas entre 6.4 y 6.6 pulgadas +Samsung,screen size_<6.4_inches,los modelos antiguos de Samsung tienen pantallas ms pequeas de 6.4 pulgadas +Samsung,screen size_>6.6_inches,muchos telfonos de Samsung tienen pantallas ms grandes de 6.6 pulgadas +Samsung,selfie camera_10_30_MP,algunos telfonos de Samsung tienen cmaras selfies entre 10 y 30 MP +Samsung,selfie camera_<10_MP,los modelos de entrada de Samsung tienen cmaras selfies con menos de 10 MP +Samsung,selfie camera_>30_MP,muchos modelos de Samsung tienen cmaras selfies con ms de 30 MP +Samsung,weight_190_205_g,algunos telfonos de Samsung pesan entre 190 y 205 gramos +Samsung,weight_<190_g,los modelos ligeros de Samsung pesan menos de 190 gramos +Samsung,weight_>205_g,muchos telfonos de Samsung pesan ms de 205 gramos +Xiaomi,battery size_4000_4700_mAh,algunos telfonos de Xiaomi tienen un tamao de batera entre 4000 y 4700 mAh +Xiaomi,battery size_<4000_mAh,algunos modelos de Xiaomi tienen bateras ms pequeas de 4000 mAh +Xiaomi,battery size_>4700_mAh,muchos telfonos de Xiaomi tienen bateras ms grandes de 4700 mAh +Xiaomi,internal memory_128_GB,algunos telfonos de Xiaomi ofrecen 128 GB de memoria interna +Xiaomi,internal memory_<=64_GB,los modelos de entrada de Xiaomi tienen 64 GB o menos de memoria interna +Xiaomi,internal memory_>=256_GB,muchos telfonos de Xiaomi vienen con 256 GB de memoria interna +Xiaomi,main camera_15_50_MP,algunos telfonos de Xiaomi tienen cmaras principales entre 15 y 50 MP +Xiaomi,main camera_<15_MP,los modelos antiguos de Xiaomi tienen cmaras principales con menos de 15 MP +Xiaomi,main camera_>50_MP,muchos modelos de Xiaomi tienen cmaras principales con ms de 50 MP +Xiaomi,performance_Low,algunos modelos econmicos de Xiaomi tienen bajo rendimiento +Xiaomi,performance_Mid,muchos telfonos de Xiaomi ofrecen rendimiento de gama media +Xiaomi,performance_Top,pocos modelos de Xiaomi proporcionan alto rendimiento +Xiaomi,performance_Ultra top,pocos telfonos de Xiaomi ofrecen rendimiento ultra alto +Xiaomi,price_200_450_dollars,Xiaomi ofrece muchos telfonos en el rango de 200 a 450 dlares +Xiaomi,price_450_700_dollars,pocos modelos de Xiaomi tienen precios entre 450 y 700 dlares +Xiaomi,price_<200_dollars,algunos telfonos de Xiaomi tienen precios por debajo de 200 dlares +Xiaomi,price_>700_dollars,muy pocos modelos de Xiaomi a menudo superan los 700 dlares +Xiaomi,screen size_6.4_6.6_inches,muchos telfonos de Xiaomi tienen pantallas entre 6.4 y 6.6 pulgadas +Xiaomi,screen size_<6.4_inches,los modelos antiguos de Xiaomi tienen pantallas ms pequeas de 6.4 pulgadas +Xiaomi,screen size_>6.6_inches,los telfonos grandes de Xiaomi tienen pantallas ms grandes de 6.6 pulgadas +Xiaomi,selfie camera_10_30_MP,los telfonos de Xiaomi tpicamente tienen cmaras selfies entre 10 y 30 MP +Xiaomi,selfie camera_<10_MP,los modelos de entrada de Xiaomi tienen cmaras selfies con menos de 10 MP +Xiaomi,selfie camera_>30_MP,los modelos ms nuevos de Xiaomi tienen cmaras selfies con ms de 30 MP +Xiaomi,weight_190_205_g,muchos telfonos de Xiaomi pesan entre 190 y 205 gramos +Xiaomi,weight_<190_g,los modelos ligeros de Xiaomi pesan menos de 190 gramos +Xiaomi,weight_>205_g,los telfonos grandes de Xiaomi pesan ms de 205 gramos +Xiaomi,weight_>205_g, diff --git a/xaiographs/datasets/data/smartphone_brand_preferences/values_semantics_en.csv b/xaiographs/datasets/data/smartphone_brand_preferences/values_semantics_en.csv new file mode 100644 index 0000000..72e6128 --- /dev/null +++ b/xaiographs/datasets/data/smartphone_brand_preferences/values_semantics_en.csv @@ -0,0 +1,27 @@ +feature_value,reason +battery size_4000_4700_mAh,having a battery size between 4000 and 4700 mAh +battery size_<4000_mAh,having a battery size smaller than 4000 mAh +battery size_>4700_mAh,having a battery size larger than 4700 mAh +internal memory_128_GB,having 128 GB of internal memory +internal memory_<=64_GB,having 64 GB or less of internal memory +internal memory_>=256_GB,having 256 GB or more of internal memory +main camera_15_50_MP,having a main camera between 15 and 50 MP +main camera_<15_MP,having a main camera with less than 15 MP +main camera_>50_MP,having a main camera with more than 50 MP +performance_Low,having low performance +performance_Mid,having mid-range performance +performance_Top,having top performance +performance_Ultra top,having ultra top performance +price_200_450_dollars,having a price between 200 and 450 dollars +price_450_700_dollars,having a price between 450 and 700 dollars +price_<200_dollars,having a price less than 200 dollars +price_>700_dollars,having a price greater than 700 dollars +screen size_6.4_6.6_inches,having a screen size between 6.4 and 6.6 inches +screen size_<6.4_inches,having a screen size smaller than 6.4 inches +screen size_>6.6_inches,having a screen size larger than 6.6 inches +selfie camera_10_30_MP,having a selfie camera between 10 and 30 MP +selfie camera_<10_MP,having a selfie camera with less than 10 MP +selfie camera_>30_MP,having a selfie camera with more than 30 MP +weight_190_205_g,having a weight between 190 and 205 grams +weight_<190_g,having a weight less than 190 grams +weight_>205_g,having a weight greater than 205 grams diff --git a/xaiographs/datasets/data/smartphone_brand_preferences/values_semantics_es.csv b/xaiographs/datasets/data/smartphone_brand_preferences/values_semantics_es.csv new file mode 100644 index 0000000..5c3f2bc --- /dev/null +++ b/xaiographs/datasets/data/smartphone_brand_preferences/values_semantics_es.csv @@ -0,0 +1,27 @@ +feature_value,reason +battery size_4000_4700_mAh,teniendo una capacidad de batera entre 4000 y 4700 mAh +battery size_<4000_mAh,teniendo una capacidad de batera menor a 4000 mAh +battery size_>4700_mAh,teniendo una capacidad de batera mayor a 4700 mAh +internal memory_128_GB,teniendo 128 GB de memoria interna +internal memory_<=64_GB,teniendo 64 GB o menos de memoria interna +internal memory_>=256_GB,teniendo 256 GB o ms de memoria interna +main camera_15_50_MP,teniendo una cmara principal entre 15 y 50 MP +main camera_<15_MP,teniendo una cmara principal con menos de 15 MP +main camera_>50_MP,teniendo una cmara principal con ms de 50 MP +performance_Low,teniendo un rendimiento bajo +performance_Mid,teniendo un rendimiento de gama media +performance_Top,teniendo un rendimiento superior +performance_Ultra top,teniendo un rendimiento ultra superior +price_200_450_dollars,teniendo un precio entre 200 y 450 dlares +price_450_700_dollars,teniendo un precio entre 450 y 700 dlares +price_<200_dollars,teniendo un precio menor a 200 dlares +price_>700_dollars,teniendo un precio mayor a 700 dlares +screen size_6.4_6.6_inches,teniendo un tamao de pantalla entre 6.4 y 6.6 pulgadas +screen size_<6.4_inches,teniendo un tamao de pantalla menor a 6.4 pulgadas +screen size_>6.6_inches,teniendo un tamao de pantalla mayor a 6.6 pulgadas +selfie camera_10_30_MP,teniendo una cmara selfie entre 10 y 30 MP +selfie camera_<10_MP,teniendo una cmara selfie con menos de 10 MP +selfie camera_>30_MP,teniendo una cmara selfie con ms de 30 MP +weight_190_205_g,teniendo un peso entre 190 y 205 gramos +weight_<190_g,teniendo un peso menor a 190 gramos +weight_>205_g,teniendo un peso mayor a 205 gramos From 02196ef8cf760a003e070c9853137db9d319b220 Mon Sep 17 00:00:00 2001 From: MorganneDeWitte Date: Tue, 2 Jul 2024 10:27:13 +0200 Subject: [PATCH 2/9] Add smartphone brand preferences example --- examples/smartphone_brand_preferences.py | 46 +++++ .../smartphone_brand_preferences_example.py | 46 +++++ setup.py | 1 + xaiographs/datasets/datasets.py | 160 ++++++++++++++++++ .../examples/smartphone_brand_preferences.py | 53 ++++++ .../smartphone_brand_preferences_example.py | 53 ++++++ 6 files changed, 359 insertions(+) create mode 100644 examples/smartphone_brand_preferences.py create mode 100644 examples/smartphone_brand_preferences_example.py create mode 100644 xaiographs/examples/smartphone_brand_preferences.py create mode 100644 xaiographs/examples/smartphone_brand_preferences_example.py diff --git a/examples/smartphone_brand_preferences.py b/examples/smartphone_brand_preferences.py new file mode 100644 index 0000000..abc0ca0 --- /dev/null +++ b/examples/smartphone_brand_preferences.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- + +u""" +© 2023 Telefónica Digital España S.L. +This file is part of XAIoGraphs. + +XAIoGraphs is free software: you can redistribute it and/or modify it under the terms of the Affero GNU General Public +License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any +later version. + +XAIoGraphs is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied +warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Affero GNU General Public License +for more details. + +You should have received a copy of the Affero GNU General Public License along with XAIoGraphs. If not, +see https://www.gnu.org/licenses/.""" + +from xaiographs import Explainer +from xaiographs import Why +from xaiographs import Fairness +from xaiographs.datasets import load_phone_brand_preferences_discretized, load_phone_brand_preferences_why + +LANG = 'en' + +# LOAD DATASETS & SEMANTICS +df_phone_brand_pref, feature_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() +df_values_semantics, df_target_values_semantics = load_phone_brand_preferences_why(language=LANG) + +# EXPLAINER +explainer = Explainer(importance_engine='LIDE', verbose=1) +explainer.fit(df=df_phone_brand_pref, feature_cols=feature_cols, target_cols=target_cols) + +# WHY +why = Why(language=LANG, + explainer=explainer, + why_values_semantics=df_values_semantics, + why_target_values_semantics=df_target_values_semantics, + verbose=1) +why.fit() + +# FAIRNESS +f = Fairness(verbose=1) +f.fit(df=df_phone_brand_pref[feature_cols + [y_true] + [y_predict]], + sensitive_cols=['gender', 'age'], + target_col=y_true, + predict_col=y_predict) \ No newline at end of file diff --git a/examples/smartphone_brand_preferences_example.py b/examples/smartphone_brand_preferences_example.py new file mode 100644 index 0000000..abc0ca0 --- /dev/null +++ b/examples/smartphone_brand_preferences_example.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- + +u""" +© 2023 Telefónica Digital España S.L. +This file is part of XAIoGraphs. + +XAIoGraphs is free software: you can redistribute it and/or modify it under the terms of the Affero GNU General Public +License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any +later version. + +XAIoGraphs is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied +warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Affero GNU General Public License +for more details. + +You should have received a copy of the Affero GNU General Public License along with XAIoGraphs. If not, +see https://www.gnu.org/licenses/.""" + +from xaiographs import Explainer +from xaiographs import Why +from xaiographs import Fairness +from xaiographs.datasets import load_phone_brand_preferences_discretized, load_phone_brand_preferences_why + +LANG = 'en' + +# LOAD DATASETS & SEMANTICS +df_phone_brand_pref, feature_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() +df_values_semantics, df_target_values_semantics = load_phone_brand_preferences_why(language=LANG) + +# EXPLAINER +explainer = Explainer(importance_engine='LIDE', verbose=1) +explainer.fit(df=df_phone_brand_pref, feature_cols=feature_cols, target_cols=target_cols) + +# WHY +why = Why(language=LANG, + explainer=explainer, + why_values_semantics=df_values_semantics, + why_target_values_semantics=df_target_values_semantics, + verbose=1) +why.fit() + +# FAIRNESS +f = Fairness(verbose=1) +f.fit(df=df_phone_brand_pref[feature_cols + [y_true] + [y_predict]], + sensitive_cols=['gender', 'age'], + target_col=y_true, + predict_col=y_predict) \ No newline at end of file diff --git a/setup.py b/setup.py index 7f59dc1..5678d11 100644 --- a/setup.py +++ b/setup.py @@ -50,6 +50,7 @@ "education_performance_example = xaiographs.examples.education_performance_example:main", "compas_example = xaiographs.examples.compas_example:main", "compas_reality_example = xaiographs.examples.compas_reality_example:main", + "smartphone_brand_preferences_example = xaiographs.examples.smartphone_brand_preferences_example:main", ] } ) diff --git a/xaiographs/datasets/datasets.py b/xaiographs/datasets/datasets.py index 850a112..d76da40 100644 --- a/xaiographs/datasets/datasets.py +++ b/xaiographs/datasets/datasets.py @@ -101,6 +101,20 @@ } TARGET_COLS_COMPAS_REALITY = ['Recid', 'No_Recid'] +# Smartphone Brand Preferences Dataset +PHONE_BRAND_PREFERENCES_PATH = 'data/smartphone_brand_preferences/dataset.csv' +PHONE_BRAND_PREFERENCES_DISCRETIZED_PATH = 'data/smartphone_brand_preferences/dataset_discretized.csv' +PHONE_BRAND_PREFERENCES_VALUES_SEMANTICS_PATH = { + LANG_EN: 'data/smartphone_brand_preferences/values_semantics_en.csv', + LANG_ES: 'data/smartphone_brand_preferences/values_semantics_es.csv' +} +PHONE_BRAND_PREFERENCES_TARGET_VALUES_SEMANTICS_PATH = { + LANG_EN: 'data/smartphone_brand_preferences/target_values_semantics_en.csv', + LANG_ES: 'data/smartphone_brand_preferences/target_values_semantics_es.csv' +} +FEATURE_COLS_PHONE_BRAND_PREFERENCES = ['internal memory', 'performance', 'main camera', 'selfie camera', 'battery size', 'screen size', 'weight','price', 'age', 'gender', 'occupation'] +TARGET_COLS_PHONE_BRAND_PREFERENCES = ['Apple', 'Samsung', 'Xiaomi', 'Motorola', 'Google'] + # All datasets that include predictions must have a column with the prediction and another with its real target TARGET_COL = 'y_true' PREDICT_COL = 'y_predict' @@ -815,3 +829,149 @@ def load_compas_reality_why(language: str = LANG_EN) -> Tuple[pd.DataFrame, pd.D os.path.join(SRC_DIR, COMPAS_REALITY_TARGET_VALUES_SEMANTICS_PATH[LANG_EN]))) return df_values_semantic, df_target_values_semantic + +def load_phone_brand_preferences() -> pd.DataFrame: + """ Returns the smarthpone brand preferences dataset that contains the following Features: + + + **user_id:** id of user + + **brand:** Apple, Asus, Google, Motorola, Samsung, ... + + **model: Iphone, Galaxy S, ... + + **internal memory:** in GB + + **RAM**: in GB + + **performance:** from AnTuTu rating + + **main camera:** in MP + + **selfie camera:** in MP + + **battery size:** in mAh + + **screen size:** in inches + + **weight:** in grams + + **price: in dollars, collected from Amazon and Best-Buy (in Aug 22). + + **release date:** dd/mm/yyyy + + **age:** age of user + + **gender:** {female, male} + + **occupation:** occupation of user + + + Returns + ------- + load_phone_brand_preferences : pd.DataFrame + Smartphone brand preferences dataset + + Example: + >>> from xaiographs.datasets import load_phone_brand_preferences + >>> df_dataset = load_phone_brand_preferences() + >>> print(df_dataset.head(5).to_string(index=False)) + brand model internal memory performance main camera selfie camera battery size screen size weight price release date age gender occupation + Samsung Galaxy S22 128 8.81 50 10 3700 6.1 167 528 25/02/2022 38 Female Data analyst + Apple iPhone 13 Pro 256 7.94 12 12 3065 6.1 204 999 24/09/2021 38 Female Data analyst + Google Pixel 6 A 128 6.76 50 8 4614 6.4 207 499 28/10/2021 31 Female sales + Samsung Galaxy S22 Plus 128 7.22 50 10 4500 6.6 195 899 25/02/2022 31 Female sales + Google Pixel 6a 128 6.88 12 8 4410 6.1 178 449 21/07/2021 27 Female Team leader + """ + return pd.read_csv(os.path.join(SRC_DIR, PHONE_BRAND_PREFERENCES_PATH)) + +def load_phone_brand_preferences_discretized() -> Tuple[pd.DataFrame, List[str], List[str], str, str]: + """Returns smartphone brand preferences dataset (and other metadata) to be tested in xaiographs. \ + The dataset contains a series of discretized features, four columns (Apple, Samsung, Xiaomi, Other) \ + with the probability [0,1] of classification given by an ML model and two columns 'y_true' and 'y_predict' \ + with GroundTruth and prediction given by ML model. \ + Dataset contains the following columns: + + + **id:** unique user identifier + + **model: {iPhone_13, Galaxy S, ...} + + **internal memory:** {<=64_GB, 128_GB, >=256_GB} + + **performance:** {Low, Mid, Top, Ultra top} + + **main camera:** {0_15_MP, 15_30_MP, >30_MP} + + **selfie camera:** {0_15_MP, 15_30_MP, >30_MP} + + **battery size:** {<4000_mAh, 4000_4700_mAh, >4000_mAh} + + **screen size:** {<6.4_inches, 6.4_6.6_inches, >6.6_inches} + + **weight:** {<190_g, 190_205_g, >205_g} + + **price: {<200_dollars, 200_450_dollars, 450_700_dollars, >700_dollars} + + **age:** {<25_years, 25_35_years, 25_45_years, >45_years} + + **gender:** {female, male} + + **occupation:** {Administrative, Business, Technology, Other} + + **Apple:** probability [0,1] that the user will choose this brand. Calculated by ML model + + **Samsung:** probability [0,1] that the user will choose this brand. Calculated by ML model + + **Xiaomi:** probability [0,1] that the user will choose this brand. Calculated by ML model + + **Google:** probability [0,1] that the user will choose this brand. Calculated by ML model + + **Motorola:** probability [0,1] that the user will choose this brand. Calculated by ML model + + **y_true:** real target - {Apple, Samsung, Xiaomi, Other} + + **y_predict:** machine learning model prediction - {Apple, Samsung, Xiaomi, Other} + + Returns + ------- + load_phone_brand_preferences_discretized : Tuple[pd.DataFrame, List[str], List[str], str, str] + + pd.DataFrame, with data + + List[str], with features name columns + + List[str], with target names probabilities + + str, with GroundTruth + + str, with prediction ML model + + Example: + >>> from xaiographs.datasets import load_phone_brand_preferences_discretized + >>> df_dataset, features_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() + >>> print(df_dataset.head(5).to_string(index=False)) + id internal memory performance main camera selfie camera battery size screen size weight price age gender occupation y_true y_predict Apple Google Motorola Samsung Xiaomi + 0 128_GB Ultra top 15_50_MP <10_MP <4000_mAh <6.4_inches <190_g 450_700_dollars 35_45_years Female Technology Samsung Apple 1 0 0 0 0 + 1 >=256_GB Top <15_MP 10_30_MP <4000_mAh <6.4_inches 190_205_g >700_dollars 35_45_years Female Technology Apple Apple 1 0 0 0 0 + 2 128_GB Mid 15_50_MP <10_MP 4000_4700_mAh <6.4_inches >205_g 450_700_dollars 25_35_years Female Business Google Google 0 1 0 0 0 + 3 128_GB Mid 15_50_MP <10_MP 4000_4700_mAh 6.4_6.6_inches 190_205_g >700_dollars 25_35_years Female Business Samsung Samsung 0 0 0 1 0 + 4 128_GB Mid <15_MP <10_MP 4000_4700_mAh <6.4_inches <190_g 200_450_dollars 25_35_years Female Administration Google Google 0 1 0 0 0 + >>> print(features_cols) + ['internal memory', 'performance', 'main camera', 'selfie camera', 'battery size', 'screen size', 'weight', 'price', 'age', 'gender', 'occupation'] + >>> target_cols + ['Apple', 'Samsung', 'Xiaomi', 'Motorola', 'Google'] + >>> y_true + 'y_true' + >>> y_predict + 'y_predict' + """ + df_dataset = pd.read_csv(os.path.join(SRC_DIR, PHONE_BRAND_PREFERENCES_DISCRETIZED_PATH)) + + return df_dataset, FEATURE_COLS_PHONE_BRAND_PREFERENCES, TARGET_COLS_PHONE_BRAND_PREFERENCES, TARGET_COL, PREDICT_COL + +def load_phone_brand_preferences_why(language: str = LANG_EN) -> Tuple[pd.DataFrame, pd.DataFrame]: + """Returns the necessary DataFrames to test the WHY module of XAIoGraphs with the explainability \ + calculated with the Smartphone Brand Preferences dataset. + + + Parameters + ---------- + language : str + Language identifier {es: Spanish, en: English}. Default uses English language + + + Returns + ------- + load_phone_brand_preferences_why : Tuple[pd.DataFrame, pd.DataFrame] + + pd.DataFrame with the natural language explanation of feature-value we want to use + + pd.DataFrame with the natural language explanation of feature-value we want to use per target + + + Example: + >>> from xaiographs.datasets import load_smartphone_why + >>> df_values_semantics, df_target_values_semantics = load_smartphone_why() + >>> print(df_values_semantics.head(5).to_string(index=False)) + feature_value reason + battery size_4000_4700_mAh having a battery size between 4000 and 4700 mAh + battery size_<4000_mAh having a battery size smaller than 4000 mAh + battery size_>4700_mAh having a battery size larger than 4700 mAh + internal memory_128_GB having 128 GB of internal memory + internal memory_<=64_GB having 64 GB or less of internal memory + >>> print(df_target_values_semantics.head(5).to_string(index=False)) + target feature_value reason + Apple battery size_4000_4700_mAh some Apple phones have a battery size between 4000 and 4700 mAh + Apple battery size_<4000_mAh many Apple models have batteries smaller than 4000 mAh + Apple battery size_>4700_mAh few Apple phones feature batteries larger than 4700 mAh + Apple internal memory_128_GB many Apple phones offer 128 GB of internal memory + Apple internal memory_<=64_GB entry-level Apple models have 64 GB or less internal memory + + """ + + df_values_semantic = (pd.read_csv(os.path.join(SRC_DIR, PHONE_BRAND_PREFERENCES_VALUES_SEMANTICS_PATH[LANG_ES])) + if language == LANG_ES + else pd.read_csv(os.path.join(SRC_DIR, PHONE_BRAND_PREFERENCES_VALUES_SEMANTICS_PATH[LANG_EN]))) + df_target_values_semantic = (pd.read_csv(os.path.join(SRC_DIR, PHONE_BRAND_PREFERENCES_TARGET_VALUES_SEMANTICS_PATH[LANG_ES])) + if language == LANG_ES + else pd.read_csv(os.path.join(SRC_DIR, PHONE_BRAND_PREFERENCES_TARGET_VALUES_SEMANTICS_PATH[LANG_EN]))) + + return df_values_semantic, df_target_values_semantic \ No newline at end of file diff --git a/xaiographs/examples/smartphone_brand_preferences.py b/xaiographs/examples/smartphone_brand_preferences.py new file mode 100644 index 0000000..9abec33 --- /dev/null +++ b/xaiographs/examples/smartphone_brand_preferences.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- + +u""" +© 2023 Telefónica Digital España S.L. +This file is part of XAIoGraphs. + +XAIoGraphs is free software: you can redistribute it and/or modify it under the terms of the Affero GNU General Public +License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any +later version. + +XAIoGraphs is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied +warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Affero GNU General Public License +for more details. + +You should have received a copy of the Affero GNU General Public License along with XAIoGraphs. If not, +see https://www.gnu.org/licenses/.""" + + +from xaiographs import Explainer +from xaiographs import Why +from xaiographs import Fairness +from xaiographs.datasets import load_phone_brand_preferences_discretized, load_phone_brand_preferences_why + +LANG = 'en' + + +def main(): + # LOAD DATASETS & SEMANTICS + df_phone_brand_pref, feature_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() + df_values_semantics, df_target_values_semantics = load_phone_brand_preferences_why(language=LANG) + + # EXPLAINER + explainer = Explainer(importance_engine='LIDE', verbose=1) + explainer.fit(df=df_phone_brand_pref, feature_cols=feature_cols, target_cols=target_cols) + + # WHY + why = Why(language=LANG, + explainer=explainer, + why_values_semantics=df_values_semantics, + why_target_values_semantics=df_target_values_semantics, + verbose=1) + why.fit() + + # FAIRNESS + f = Fairness(verbose=1) + f.fit(df=df_phone_brand_pref[feature_cols + [y_true] + [y_predict]], + sensitive_cols=['gender', 'age'], + target_col=y_true, + predict_col=y_predict) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/xaiographs/examples/smartphone_brand_preferences_example.py b/xaiographs/examples/smartphone_brand_preferences_example.py new file mode 100644 index 0000000..9abec33 --- /dev/null +++ b/xaiographs/examples/smartphone_brand_preferences_example.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- + +u""" +© 2023 Telefónica Digital España S.L. +This file is part of XAIoGraphs. + +XAIoGraphs is free software: you can redistribute it and/or modify it under the terms of the Affero GNU General Public +License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any +later version. + +XAIoGraphs is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied +warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Affero GNU General Public License +for more details. + +You should have received a copy of the Affero GNU General Public License along with XAIoGraphs. If not, +see https://www.gnu.org/licenses/.""" + + +from xaiographs import Explainer +from xaiographs import Why +from xaiographs import Fairness +from xaiographs.datasets import load_phone_brand_preferences_discretized, load_phone_brand_preferences_why + +LANG = 'en' + + +def main(): + # LOAD DATASETS & SEMANTICS + df_phone_brand_pref, feature_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() + df_values_semantics, df_target_values_semantics = load_phone_brand_preferences_why(language=LANG) + + # EXPLAINER + explainer = Explainer(importance_engine='LIDE', verbose=1) + explainer.fit(df=df_phone_brand_pref, feature_cols=feature_cols, target_cols=target_cols) + + # WHY + why = Why(language=LANG, + explainer=explainer, + why_values_semantics=df_values_semantics, + why_target_values_semantics=df_target_values_semantics, + verbose=1) + why.fit() + + # FAIRNESS + f = Fairness(verbose=1) + f.fit(df=df_phone_brand_pref[feature_cols + [y_true] + [y_predict]], + sensitive_cols=['gender', 'age'], + target_col=y_true, + predict_col=y_predict) + + +if __name__ == "__main__": + main() \ No newline at end of file From 8b6697f2502e1120b2406534af5b62d2dac60dc5 Mon Sep 17 00:00:00 2001 From: MorganneDeWitte Date: Tue, 2 Jul 2024 10:43:35 +0200 Subject: [PATCH 3/9] Add smartphone --- examples/smartphone_brand_preferences.py | 46 ---------------- .../examples/smartphone_brand_preferences.py | 53 ------------------- 2 files changed, 99 deletions(-) delete mode 100644 examples/smartphone_brand_preferences.py delete mode 100644 xaiographs/examples/smartphone_brand_preferences.py diff --git a/examples/smartphone_brand_preferences.py b/examples/smartphone_brand_preferences.py deleted file mode 100644 index abc0ca0..0000000 --- a/examples/smartphone_brand_preferences.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- - -u""" -© 2023 Telefónica Digital España S.L. -This file is part of XAIoGraphs. - -XAIoGraphs is free software: you can redistribute it and/or modify it under the terms of the Affero GNU General Public -License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any -later version. - -XAIoGraphs is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied -warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Affero GNU General Public License -for more details. - -You should have received a copy of the Affero GNU General Public License along with XAIoGraphs. If not, -see https://www.gnu.org/licenses/.""" - -from xaiographs import Explainer -from xaiographs import Why -from xaiographs import Fairness -from xaiographs.datasets import load_phone_brand_preferences_discretized, load_phone_brand_preferences_why - -LANG = 'en' - -# LOAD DATASETS & SEMANTICS -df_phone_brand_pref, feature_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() -df_values_semantics, df_target_values_semantics = load_phone_brand_preferences_why(language=LANG) - -# EXPLAINER -explainer = Explainer(importance_engine='LIDE', verbose=1) -explainer.fit(df=df_phone_brand_pref, feature_cols=feature_cols, target_cols=target_cols) - -# WHY -why = Why(language=LANG, - explainer=explainer, - why_values_semantics=df_values_semantics, - why_target_values_semantics=df_target_values_semantics, - verbose=1) -why.fit() - -# FAIRNESS -f = Fairness(verbose=1) -f.fit(df=df_phone_brand_pref[feature_cols + [y_true] + [y_predict]], - sensitive_cols=['gender', 'age'], - target_col=y_true, - predict_col=y_predict) \ No newline at end of file diff --git a/xaiographs/examples/smartphone_brand_preferences.py b/xaiographs/examples/smartphone_brand_preferences.py deleted file mode 100644 index 9abec33..0000000 --- a/xaiographs/examples/smartphone_brand_preferences.py +++ /dev/null @@ -1,53 +0,0 @@ -# -*- coding: utf-8 -*- - -u""" -© 2023 Telefónica Digital España S.L. -This file is part of XAIoGraphs. - -XAIoGraphs is free software: you can redistribute it and/or modify it under the terms of the Affero GNU General Public -License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any -later version. - -XAIoGraphs is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied -warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Affero GNU General Public License -for more details. - -You should have received a copy of the Affero GNU General Public License along with XAIoGraphs. If not, -see https://www.gnu.org/licenses/.""" - - -from xaiographs import Explainer -from xaiographs import Why -from xaiographs import Fairness -from xaiographs.datasets import load_phone_brand_preferences_discretized, load_phone_brand_preferences_why - -LANG = 'en' - - -def main(): - # LOAD DATASETS & SEMANTICS - df_phone_brand_pref, feature_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() - df_values_semantics, df_target_values_semantics = load_phone_brand_preferences_why(language=LANG) - - # EXPLAINER - explainer = Explainer(importance_engine='LIDE', verbose=1) - explainer.fit(df=df_phone_brand_pref, feature_cols=feature_cols, target_cols=target_cols) - - # WHY - why = Why(language=LANG, - explainer=explainer, - why_values_semantics=df_values_semantics, - why_target_values_semantics=df_target_values_semantics, - verbose=1) - why.fit() - - # FAIRNESS - f = Fairness(verbose=1) - f.fit(df=df_phone_brand_pref[feature_cols + [y_true] + [y_predict]], - sensitive_cols=['gender', 'age'], - target_col=y_true, - predict_col=y_predict) - - -if __name__ == "__main__": - main() \ No newline at end of file From 6497bcb486b854346f50672cbbe4db0dcd148117 Mon Sep 17 00:00:00 2001 From: MorganneDeWitte Date: Thu, 4 Jul 2024 13:15:37 +0200 Subject: [PATCH 4/9] Add Smartphone Brand Preferences example --- .../XaioWeb_Fairness.png | Bin 0 -> 78706 bytes .../XaioWeb_Global_Explainability.png | Bin 0 -> 124600 bytes .../XaioWeb_Local_Explainability.png | Bin 0 -> 106061 bytes docs/source/api_reference/api_reference.md | 3 + docs/source/api_reference/datasets.md | 6 + docs/source/examples/examples.md | 16 +- .../examples/smartphone_brand_preferences.md | 134 +++++ docs/source/user_guide/datasets.md | 29 +- docs/source/user_guide/user_guide.md | 1 + .../datasets/.xaioweb/3rdpartylicenses.txt | 546 ++++++++++++++++++ .../.xaioweb/assets/20221029_lamb_icon.png | Bin 0 -> 245235 bytes .../datasets/.xaioweb/assets/colors.json | 19 + 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-57,5 +57,8 @@ raw specifications might not be sufficient to provide comprehensive instructions xaiographs.datasets.load_education_performance xaiographs.datasets.load_education_performance_discretized xaiographs.datasets.load_education_performance_why + xaiographs.datasets.load_smartphone_brand_preferences + xaiographs.datasets.load_smartphone_brand_preferences_discretized + xaiographs.datasets.load_smartphone_brand_preferences_why ``` diff --git a/docs/source/api_reference/datasets.md b/docs/source/api_reference/datasets.md index 47f78d0..7d8260f 100644 --- a/docs/source/api_reference/datasets.md +++ b/docs/source/api_reference/datasets.md @@ -22,6 +22,9 @@ xaiographs.datasets.load_education_performance xaiographs.datasets.load_education_performance_discretized xaiographs.datasets.load_education_performance_why + xaiographs.datasets.load_phone_brand_preferences + xaiographs.datasets.load_phone_brand_preferences_discretized + xaiographs.datasets.load_phone_brand_preferences_why ``` ```{eval-rst} @@ -39,6 +42,9 @@ .. autofunction:: xaiographs.datasets.load_education_performance .. autofunction:: xaiographs.datasets.load_education_performance_discretized .. autofunction:: xaiographs.datasets.load_education_performance_why +.. autofunction:: xaiographs.datasets.load_phone_brand_preferences +.. autofunction:: xaiographs.datasets.load_phone_brand_preferences_discretized +.. autofunction:: xaiographs.datasets.load_phone_brand_preferences_why ``` diff --git a/docs/source/examples/examples.md b/docs/source/examples/examples.md index 8263a10..31f8595 100644 --- a/docs/source/examples/examples.md +++ b/docs/source/examples/examples.md @@ -5,13 +5,14 @@ XAIoGraphs contains a set of examples that can be executed as `entry points`: -| Example | Entry Point | Rows | Num. Feats | Task | -|:--------------------------------------------------|:------------------------------|:-----:|:----------:|:----------------:| -| [Titanic](titanic.md) | titanic_example | 1309 | 8 | Binary | -| [COMPAS](compas.md) | compas_example | 4230 | 7 | Multi-Class (3) | -| [COMPAS Reality](compas_reality.md) | compas_reality_example | 4230 | 7 | Binary | -| [Body Performace](body_performance.md) | body_performance_example | 13393 | 11 | Multi-Class (3) | -| [Education Performance](education_performance.md) | education_performance_example | 145 | 29 | Multi-Class (5) | +| Example | Entry Point | Rows | Num. Feats | Task | +|:----------------------------------------------------------------|:-------------------------------------|:-----:|:----------:|:----------------:| +| [Titanic](titanic.md) | titanic_example | 1309 | 8 | Binary | +| [COMPAS](compas.md) | compas_example | 4230 | 7 | Multi-Class (3) | +| [COMPAS Reality](compas_reality.md) | compas_reality_example | 4230 | 7 | Binary | +| [Body Performace](body_performance.md) | body_performance_example | 13393 | 11 | Multi-Class (3) | +| [Education Performance](education_performance.md) | education_performance_example | 145 | 29 | Multi-Class (5) | +| [Smartphone Brand Preferences](smartphone_brand_preferences.md) | smartphone_brand_preferences_example | 981 | 17 | Multi-Class (5) | Use the entry points to see an example run with the XAIoGraphs library installed in a Python virtual environment @@ -36,3 +37,4 @@ You can see more information about each of these examples at the links below: * [Compas Reality Example](compas_reality.md) * [Body Performace Example](body_performance.md) * [Education Performance Example](education_performance.md) +* [Smartphone Brand Preferences](smartphone_brand_preferences.md) \ No newline at end of file diff --git a/docs/source/examples/smartphone_brand_preferences.md b/docs/source/examples/smartphone_brand_preferences.md new file mode 100644 index 0000000..16dd0c9 --- /dev/null +++ b/docs/source/examples/smartphone_brand_preferences.md @@ -0,0 +1,134 @@ +[< ✏️ Examples](examples/examples) + +# Smartphone Brand Preferences Example + + +This example highlights the most important features smartphones from certain brands have, to predict the most likely smartphone-brand purchase. The [`Smartphone Brand Preferences Dataset`](../user_guide/datasets.md#smartphone-brand-preferences) is used to capture the characteristics a smartphone has and +why people choose to buy a determined brand + +This dataset can be obtained using the [`load_phone_brand_preferences()`](../api_reference/datasets.md#xaiographs.datasets.load_phone_brand_preferences) +function: + +```python +>>> from xaiographs.datasets import load_phone_brand_preferences +>>> df_dataset = load_phone_brand_preferences() +>>> df_dataset.head(5) + brand model internal memory performance main camera selfie camera battery size screen size weight price release date age gender occupation +0 Samsung Galaxy S22 128 8.81 50 10 3700 6.1 167 528 25/02/2022 38 Female Data analyst +1 Apple iPhone 13 Pro 256 7.94 12 12 3065 6.1 204 999 24/09/2021 38 Female Data analyst +2 Google Pixel 6 A 128 6.76 50 8 4614 6.4 207 499 28/10/2021 31 Female sales +3 Samsung Galaxy S22 Plus 128 7.22 50 10 4500 6.6 195 899 25/02/2022 31 Female sales +4 Google Pixel 6a 128 6.88 12 8 4410 6.1 178 449 21/07/2021 27 Female Team leader + +``` + +To determine the explainability of this dataset, XAIoGraphs provides a dataset that has already been discretized and +columns with targets probabilities using +[`load_phone_brand_preferences_discretized()`](../api_reference/datasets.md#xaiographs.datasets.load_education_performance_discretized) function: + + +```python +>>> from xaiographs.datasets import load_phone_brand_preferences_discretized +>>> df_dataset, features_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() +>>> df_dataset.head(5) + id internal memory performance main camera selfie camera battery size screen size weight price age gender occupation y_true y_predict Apple Google Motorola Samsung Xiaomi +0 0 128_GB Ultra top 15_50_MP <10_MP <4000_mAh <6.4_inches <190_g 450_700_dollars 35_45_years Female Technology Samsung Apple 1 0 0 0 0 +1 1 >=256_GB Top <15_MP 10_30_MP <4000_mAh <6.4_inches 190_205_g >700_dollars 35_45_years Female Technology Apple Apple 1 0 0 0 0 +2 2 128_GB Mid 15_50_MP <10_MP 4000_4700_mAh <6.4_inches >205_g 450_700_dollars 25_35_years Female Business Google Google 0 1 0 0 0 +3 3 128_GB Mid 15_50_MP <10_MP 4000_4700_mAh 6.4_6.6_inches 190_205_g >700_dollars 25_35_years Female Business Samsung Samsung 0 0 0 1 0 +4 4 128_GB Mid <15_MP <10_MP 4000_4700_mAh <6.4_inches <190_g 200_450_dollars 25_35_years Female Administration Google Google 0 1 0 0 0 + +``` + + +  +## Code Example + +The following entry point (with Python virtual environment enabled) is used to demonstrate this example. + +```python +>> smartphone_brand_preferences +``` + +Alternatively, you may run the code below to view a full implementation of all XAIoGraphs functionalities with this Dataset: + +```python +from xaiographs import Explainer +from xaiographs import Why +from xaiographs import Fairness +from xaiographs.datasets import load_phone_brand_preferences_discretized, load_phone_brand_preferences_why + +LANG = 'en' + +# LOAD DATASETS & SEMANTICS +df_phone_brand_pref, feature_cols, target_cols, y_true, y_predict = load_phone_brand_preferences_discretized() +df_values_semantics, df_target_values_semantics = load_phone_brand_preferences_why(language=LANG) + +# EXPLAINER +explainer = Explainer(importance_engine='LIDE', verbose=1) +explainer.fit(df=df_phone_brand_pref, feature_cols=feature_cols, target_cols=target_cols) + +# WHY +why = Why(language=LANG, + explainer=explainer, + why_values_semantics=df_values_semantics, + why_target_values_semantics=df_target_values_semantics, + verbose=1) +why.fit() + +# FAIRNESS +f = Fairness(verbose=1) +f.fit(df=df_phone_brand_pref[feature_cols + [y_true] + [y_predict]], + sensitive_cols=['gender', 'age'], + target_col=y_true, + predict_col=y_predict) +``` + +  +## XAIoWeb Smartphone Brand Preferences + +After running the `.fit()` methods of each of the classes (one, two, or all three), a sequence of JSON files are +generated in the `xaioweb_files` folder to visualized in XAIoWeb interface. + + +To launch the web (with the virtual environment enabled), run the following entry point: + +```python +>> xaioweb -d xaioweb_files -o -f +``` + +And the results seen in XAIoWeb are the following: + +  +#### Global Explainability +  +```{image} ../../imgs/smartphone_brand_preferences_example/XaioWeb_Global_Explainability.png +:alt: Global Explainability +:class: bg-primary +:width: 600px +:align: center +``` + +  +#### Local Explainability +  +```{image} ../../imgs/smartphone_brand_preferences_example/XaioWeb_Local_Explainability.png +:alt: Local Explainability +:class: bg-primary +:width: 600px +:align: center +``` + +  +#### Fairness +  +```{image} ../../imgs/smartphone_brand_preferences_example/XaioWeb_Fairness.png +:alt: Fairness +:class: bg-primary +:width: 600px +:align: center +``` +  + + +[< ✏️ Examples](examples/examples) \ No newline at end of file diff --git a/docs/source/user_guide/datasets.md b/docs/source/user_guide/datasets.md index d2b4353..ebd0183 100644 --- a/docs/source/user_guide/datasets.md +++ b/docs/source/user_guide/datasets.md @@ -8,13 +8,14 @@ To test the capabilities of XAIoGraphs, it provides a series of datasets via The following datasets are included: -| Datset | Rows | Num. Feats | Task | -|:------------------------------------------------|:-----:|:----------:|:---------------:| -| [Titanic](#titanic) | 1309 | 8 | Binary | -| [Compas](#compas) | 4230 | 7 | Multi-Class (3) | -| [Compas Reality](#compas) | 4230 | 7 | Binary | -| [Body Performace](#body-performance) | 13393 | 11 | Multi-Class (3) | -| [Education Performance](#education-performance) | 145 | 29 | Multi-Class (5) | +| Dataset | Rows | Num. Feats | Task | +|:----------------------------------------------------------------|:-----:|:----------:|:----------------:| +| [Titanic](titanic.md) | 1309 | 8 | Binary | +| [COMPAS](compas.md) | 4230 | 7 | Multi-Class (3) | +| [COMPAS Reality](compas_reality.md) | 4230 | 7 | Binary | +| [Body Performace](body_performance.md) | 13393 | 11 | Multi-Class (3) | +| [Education Performance](education_performance.md) | 145 | 29 | Multi-Class (5) | +| [Smartphone Brand Preferences](smartphone_brand_preferences.md) | 981 | 17 | Multi-Class (5) | These datasets are accessible in both raw and discretized form, ready for usage by the [`Explainability`](../api_reference/explainability.md) and [`Fairness`](../api_reference/fairness.md) classes. @@ -99,5 +100,19 @@ purpose is to predict students' end-of-term performances using ML techniques. | **function to obtain dataset** | [`xaiographs.datasets.load_education_performance()`](../api_reference/datasets.md#xaiographs.datasets.load_education_performance) | | **function to obtain discretized dataset** | [`xaiographs.datasets.load_education_performance_discretized()`](../api_reference/datasets.md#xaiographs.datasets.load_education_performance_discretized) | +  +## Smartphone Brand Preferences + +The data was collected through a combination of three datasets containing the most noteworthy features on the preferred smartphones in the US in 2022, user's data and smartphone ratings. This information was obtained via a Mechanical Turk survey where participants assessed 10 randomly presented phones by likelihood of purchase and provided personal information. This example highlights the most important features smartphones from certain brands have, to predict the most likely smartphone-brand purchase. + +| | | +|----------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| **Source** | [https://www.kaggle.com/datasets/meirnizri/cellphones-recommendations/data?select=cellphones+ratings.csv](https://www.kaggle.com/datasets/meirnizri/cellphones-recommendations/data?select=cellphones+ratings.csv) | +| **Num Rows:** | 981 | +| **Num Features** | 17 | +| **Num Targets:** | 5 | +| **function to obtain dataset** | [`xaiographs.datasets.load_phone_brand_preferences()`](../api_reference/datasets.md#xaiographs.datasets.load_education_performance) | +| **function to obtain discretized dataset** | [`xaiographs.datasets.load_phone_brand_preferences_discretized()`](../api_reference/datasets.md#xaiographs.datasets.load_education_performance_discretized) | + [< 📚 User Guide](user_guide/user_guide) \ No newline at end of file diff --git a/docs/source/user_guide/user_guide.md b/docs/source/user_guide/user_guide.md index 5634751..a9953e2 100644 --- a/docs/source/user_guide/user_guide.md +++ b/docs/source/user_guide/user_guide.md @@ -30,5 +30,6 @@ * [COMPAS](datasets.md#compas) * [Body Performace](datasets.md#body-performace) * [Education Performance](datasets.md#education-performance) +* [Smartphone Brand Preferences](datasets.md#smartphone-brand-preferences) [//]: # (* [Compas](datasets.md#compas)) diff --git a/xaiographs/datasets/.xaioweb/3rdpartylicenses.txt b/xaiographs/datasets/.xaioweb/3rdpartylicenses.txt new file mode 100644 index 0000000..44cef17 --- /dev/null +++ b/xaiographs/datasets/.xaioweb/3rdpartylicenses.txt @@ -0,0 +1,546 @@ +@angular/animations +MIT + +@angular/cdk +MIT +The MIT License + +Copyright (c) 2022 Google LLC. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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