| --- |
| dataset_info: |
| features: |
| - name: df |
| dtype: string |
| splits: |
| - name: kaggle_Analytics_Vidhya_Loan_Prediction |
| num_bytes: 175 |
| num_examples: 12 |
| - name: kaggle_Audit_Data |
| num_bytes: 382 |
| num_examples: 25 |
| - name: kaggle_Automobiles |
| num_bytes: 376 |
| num_examples: 25 |
| - name: kaggle_Bigg_Boss_India |
| num_bytes: 220 |
| num_examples: 15 |
| - name: kaggle_Breast_Cancer_Dataset |
| num_bytes: 481 |
| num_examples: 31 |
| - name: kaggle_Campus_Recruitment |
| num_bytes: 205 |
| num_examples: 14 |
| - name: kaggle_chronic_kidney_disease |
| num_bytes: 205 |
| num_examples: 14 |
| - name: kaggle_Collection_of_Classification___Regression_Datasets_House_Price_ |
| num_bytes: 270 |
| num_examples: 18 |
| - name: kaggle_Compositions_of_Glass |
| num_bytes: 145 |
| num_examples: 10 |
| - name: kaggle_Credit_Card_Approval |
| num_bytes: 235 |
| num_examples: 16 |
| - name: kaggle_Customer_Classification |
| num_bytes: 175 |
| num_examples: 12 |
| - name: kaggle_Development_Index |
| num_bytes: 100 |
| num_examples: 7 |
| - name: kaggle_fitbit_dataset |
| num_bytes: 208 |
| num_examples: 14 |
| - name: kaggle_Horse_Colic_Dataset__with_test_file_ |
| num_bytes: 424 |
| num_examples: 28 |
| - name: kaggle_Penguins_Classified |
| num_bytes: 100 |
| num_examples: 7 |
| - name: kaggle_Pima_Indians_Diabetes_with_null_values |
| num_bytes: 130 |
| num_examples: 9 |
| - name: kaggle_Real_Estate_DataSet |
| num_bytes: 207 |
| num_examples: 14 |
| - name: kaggle_Startup_Success_Prediction |
| num_bytes: 552 |
| num_examples: 36 |
| - name: kaggle_Store_Data_Performance |
| num_bytes: 235 |
| num_examples: 16 |
| - name: kaggle_The_Estonia_Disaster_Passenger_List |
| num_bytes: 70 |
| num_examples: 5 |
| - name: openml_analcatdata_creditscore |
| num_bytes: 100 |
| num_examples: 7 |
| - name: openml_analcatdata_lawsuit |
| num_bytes: 70 |
| num_examples: 5 |
| - name: openml_Diabetes_Data_Set |
| num_bytes: 130 |
| num_examples: 9 |
| - name: openml_DiabeticMellitus |
| num_bytes: 1547 |
| num_examples: 98 |
| - name: openml_Heart_disease_classification |
| num_bytes: 205 |
| num_examples: 14 |
| - name: openml_hungarian |
| num_bytes: 207 |
| num_examples: 14 |
| - name: openml_Indian_Liver_Patient_Patient_Records_KFolds_5folds |
| num_bytes: 175 |
| num_examples: 12 |
| - name: openml_Intersectional_Bias_Assessment__Testing_Data_ |
| num_bytes: 285 |
| num_examples: 19 |
| - name: openml_nki70.arff |
| num_bytes: 1213 |
| num_examples: 77 |
| - name: openml_Pima_Indians_Diabetes |
| num_bytes: 130 |
| num_examples: 9 |
| - name: openml_Pokmon_Legendary_Data |
| num_bytes: 160 |
| num_examples: 11 |
| - name: openml_student_grade_pass_or_fail_prediction |
| num_bytes: 461 |
| num_examples: 30 |
| - name: openml_Swiss_banknote_conterfeit_detection |
| num_bytes: 100 |
| num_examples: 7 |
| - name: openml_The_Estonia_Disaster_Passenger_List |
| num_bytes: 70 |
| num_examples: 5 |
| - name: openml_tokyo1 |
| num_bytes: 703 |
| num_examples: 45 |
| - name: UCI_Absenteeism_at_work |
| num_bytes: 314 |
| num_examples: 21 |
| - name: UCI_Audit_Data |
| num_bytes: 382 |
| num_examples: 25 |
| - name: UCI_Breast_Cancer_Coimbra |
| num_bytes: 145 |
| num_examples: 10 |
| - name: UCI_Cervical_cancer__Risk_Factors_ |
| num_bytes: 476 |
| num_examples: 31 |
| - name: UCI_Climate_Model_Simulation_Crashes |
| num_bytes: 304 |
| num_examples: 20 |
| - name: UCI_Early_stage_diabetes_risk_prediction_dataset |
| num_bytes: 256 |
| num_examples: 17 |
| - name: UCI_extention_of_Z_Alizadeh_sani_dataset |
| num_bytes: 904 |
| num_examples: 58 |
| - name: UCI_HCV_data |
| num_bytes: 192 |
| num_examples: 13 |
| - name: UCI_Heart_failure_clinical_records |
| num_bytes: 190 |
| num_examples: 13 |
| - name: UCI_Parkinson_Dataset_with_replicated_acoustic_features |
| num_bytes: 735 |
| num_examples: 47 |
| - name: UCI_QSAR_Bioconcentration_classes_dataset |
| num_bytes: 175 |
| num_examples: 12 |
| - name: UCI_Quality_Assessment_of_Digital_Colposcopies |
| num_bytes: 993 |
| num_examples: 63 |
| - name: UCI_User_Knowledge_Modeling |
| num_bytes: 85 |
| num_examples: 6 |
| - name: UCI_Z_Alizadeh_Sani |
| num_bytes: 856 |
| num_examples: 55 |
| download_size: 44066 |
| dataset_size: 16458 |
| configs: |
| - config_name: default |
| data_files: |
| - split: kaggle_Analytics_Vidhya_Loan_Prediction |
| path: data/kaggle_Analytics_Vidhya_Loan_Prediction-* |
| - split: kaggle_Audit_Data |
| path: data/kaggle_Audit_Data-* |
| - split: kaggle_Automobiles |
| path: data/kaggle_Automobiles-* |
| - split: kaggle_Bigg_Boss_India |
| path: data/kaggle_Bigg_Boss_India-* |
| - split: kaggle_Breast_Cancer_Dataset |
| path: data/kaggle_Breast_Cancer_Dataset-* |
| - split: kaggle_Campus_Recruitment |
| path: data/kaggle_Campus_Recruitment-* |
| - split: kaggle_chronic_kidney_disease |
| path: data/kaggle_chronic_kidney_disease-* |
| - split: kaggle_Collection_of_Classification___Regression_Datasets_House_Price_ |
| path: data/kaggle_Collection_of_Classification___Regression_Datasets_House_Price_-* |
| - split: kaggle_Compositions_of_Glass |
| path: data/kaggle_Compositions_of_Glass-* |
| - split: kaggle_Credit_Card_Approval |
| path: data/kaggle_Credit_Card_Approval-* |
| - split: kaggle_Customer_Classification |
| path: data/kaggle_Customer_Classification-* |
| - split: kaggle_Development_Index |
| path: data/kaggle_Development_Index-* |
| - split: kaggle_fitbit_dataset |
| path: data/kaggle_fitbit_dataset-* |
| - split: kaggle_Horse_Colic_Dataset__with_test_file_ |
| path: data/kaggle_Horse_Colic_Dataset__with_test_file_-* |
| - split: kaggle_Penguins_Classified |
| path: data/kaggle_Penguins_Classified-* |
| - split: kaggle_Pima_Indians_Diabetes_with_null_values |
| path: data/kaggle_Pima_Indians_Diabetes_with_null_values-* |
| - split: kaggle_Real_Estate_DataSet |
| path: data/kaggle_Real_Estate_DataSet-* |
| - split: kaggle_Startup_Success_Prediction |
| path: data/kaggle_Startup_Success_Prediction-* |
| - split: kaggle_Store_Data_Performance |
| path: data/kaggle_Store_Data_Performance-* |
| - split: kaggle_The_Estonia_Disaster_Passenger_List |
| path: data/kaggle_The_Estonia_Disaster_Passenger_List-* |
| - split: openml_analcatdata_creditscore |
| path: data/openml_analcatdata_creditscore-* |
| - split: openml_analcatdata_lawsuit |
| path: data/openml_analcatdata_lawsuit-* |
| - split: openml_Diabetes_Data_Set |
| path: data/openml_Diabetes_Data_Set-* |
| - split: openml_DiabeticMellitus |
| path: data/openml_DiabeticMellitus-* |
| - split: openml_Heart_disease_classification |
| path: data/openml_Heart_disease_classification-* |
| - split: openml_hungarian |
| path: data/openml_hungarian-* |
| - split: openml_Indian_Liver_Patient_Patient_Records_KFolds_5folds |
| path: data/openml_Indian_Liver_Patient_Patient_Records_KFolds_5folds-* |
| - split: openml_Intersectional_Bias_Assessment__Testing_Data_ |
| path: data/openml_Intersectional_Bias_Assessment__Testing_Data_-* |
| - split: openml_nki70.arff |
| path: data/openml_nki70.arff-* |
| - split: openml_Pima_Indians_Diabetes |
| path: data/openml_Pima_Indians_Diabetes-* |
| - split: openml_Pokmon_Legendary_Data |
| path: data/openml_Pokmon_Legendary_Data-* |
| - split: openml_student_grade_pass_or_fail_prediction |
| path: data/openml_student_grade_pass_or_fail_prediction-* |
| - split: openml_Swiss_banknote_conterfeit_detection |
| path: data/openml_Swiss_banknote_conterfeit_detection-* |
| - split: openml_The_Estonia_Disaster_Passenger_List |
| path: data/openml_The_Estonia_Disaster_Passenger_List-* |
| - split: openml_tokyo1 |
| path: data/openml_tokyo1-* |
| - split: UCI_Absenteeism_at_work |
| path: data/UCI_Absenteeism_at_work-* |
| - split: UCI_Audit_Data |
| path: data/UCI_Audit_Data-* |
| - split: UCI_Breast_Cancer_Coimbra |
| path: data/UCI_Breast_Cancer_Coimbra-* |
| - split: UCI_Cervical_cancer__Risk_Factors_ |
| path: data/UCI_Cervical_cancer__Risk_Factors_-* |
| - split: UCI_Climate_Model_Simulation_Crashes |
| path: data/UCI_Climate_Model_Simulation_Crashes-* |
| - split: UCI_Early_stage_diabetes_risk_prediction_dataset |
| path: data/UCI_Early_stage_diabetes_risk_prediction_dataset-* |
| - split: UCI_extention_of_Z_Alizadeh_sani_dataset |
| path: data/UCI_extention_of_Z_Alizadeh_sani_dataset-* |
| - split: UCI_HCV_data |
| path: data/UCI_HCV_data-* |
| - split: UCI_Heart_failure_clinical_records |
| path: data/UCI_Heart_failure_clinical_records-* |
| - split: UCI_Parkinson_Dataset_with_replicated_acoustic_features |
| path: data/UCI_Parkinson_Dataset_with_replicated_acoustic_features-* |
| - split: UCI_QSAR_Bioconcentration_classes_dataset |
| path: data/UCI_QSAR_Bioconcentration_classes_dataset-* |
| - split: UCI_Quality_Assessment_of_Digital_Colposcopies |
| path: data/UCI_Quality_Assessment_of_Digital_Colposcopies-* |
| - split: UCI_User_Knowledge_Modeling |
| path: data/UCI_User_Knowledge_Modeling-* |
| - split: UCI_Z_Alizadeh_Sani |
| path: data/UCI_Z_Alizadeh_Sani-* |
| --- |
| |
