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Home Loan Prediction Prepared Datasets

Prepared datasets for home loan default risk prediction

@kaggle.defcodeking_home_loan_prediction_prepared_datasets

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About this Dataset

Home Loan Prediction Prepared Datasets

This dataset is a prepared dataset for the AI511-HOMELOAN-2022 competiton. There are 4 pairs of files, where each pair has the training and test sets.

  • train_with_new_features.csv and test_with_new_features.csv - These files have all the new features that have been engineered. There is no further preprocessing. This is useful if you want to run your own experiments with missing value imputation and scaling.
  • train_scaled_no_nulls.csv and test_scaled_no_nulls.csv - These files have the new features, all the missing values have been imputed using median for numerical features and mode for categorical features, and the numerical columns have been scaled using min-max scaling. This is useful if you want to experiment with ways to encode categorical features.
  • train_le_scaled_no_nulls.csv and test_le_scaled_no_nulls.csv - In addition to all of the above, the categorical features have been label encoded. Note that there are some features where categories in the training set are not present in the test set and vice-versa. All such categories have been encoded with -1 in the test set.
  • train_ohe_scaled_no_nulls.csv and test_ohe_scaled_no_nulls.csv - Same as above except categorical features are one-hot encoded.

The new features that have been engineered are as follows:

  • loan_rate - This is the ratio between amt_credit and amt_annuity. Thus, it is a direct measure of the duration of the loan in months.​
  • loan_income_ratio - This is the ratio between amt_credit and amt_income_total. Thus, it acts as an indirect measure of the amount of liability that the applicant is taking on themselves. A higher value indicates that the loan amount is much bigger than the applicant's income, suggesting that they've taken a bigger liability than someone with a smaller ratio.​
  • annuity_income_ratio - This is the ratio between amt_annuity and amt_income_total. It is another measure of liability but measures it at a finer timescale (per month vs over multiple months) since amt_annuiity is the amount to be paid each month against the loan.​
  • application_is_incomplete - Denotes whether the applicant submitted an incomplete application or not.
  • es1_is_missing - True if ext_source_1 is missing for the applicant.
  • es3_is_missing - True if ext_source_3 is missing for the applicant.

Additionally, the train set in the last 2 pairs of files has a kfold column which has been generated using Stratified K-Fold (due to target imbalance) and can be used in a CV loop.

Tables

Numerical Features

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.numerical_features
  • 2.71 KB
  • 65 rows
  • 2 columns
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CREATE TABLE numerical_features (
  "col" VARCHAR,
  "mn" VARCHAR
);

Test Le Scaled No Null

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.test_le_scaled_no_null
  • 12.17 MB
  • 123005 rows
  • 127 columns
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CREATE TABLE test_le_scaled_no_null (
  "sk_id_curr" BIGINT,
  "name_contract_type" DOUBLE,
  "code_gender" DOUBLE,
  "flag_own_car" DOUBLE,
  "flag_own_realty" DOUBLE,
  "cnt_children" DOUBLE,
  "amt_income_total" DOUBLE,
  "amt_credit" DOUBLE,
  "amt_annuity" DOUBLE,
  "amt_goods_price" DOUBLE,
  "name_type_suite" DOUBLE,
  "name_income_type" DOUBLE,
  "name_education_type" DOUBLE,
  "name_family_status" DOUBLE,
  "name_housing_type" DOUBLE,
  "region_population_relative" DOUBLE,
  "days_birth" DOUBLE,
  "days_employed" DOUBLE,
  "days_registration" DOUBLE,
  "days_id_publish" DOUBLE,
  "own_car_age" DOUBLE,
  "flag_mobil" DOUBLE,
  "flag_emp_phone" DOUBLE,
  "flag_work_phone" DOUBLE,
  "flag_cont_mobile" DOUBLE,
  "flag_phone" DOUBLE,
  "flag_email" DOUBLE,
  "occupation_type" DOUBLE,
  "cnt_fam_members" DOUBLE,
  "region_rating_client" DOUBLE,
  "region_rating_client_w_city" DOUBLE,
  "weekday_appr_process_start" DOUBLE,
  "hour_appr_process_start" DOUBLE,
  "reg_region_not_live_region" DOUBLE,
  "reg_region_not_work_region" DOUBLE,
  "live_region_not_work_region" DOUBLE,
  "reg_city_not_live_city" DOUBLE,
  "reg_city_not_work_city" DOUBLE,
  "live_city_not_work_city" DOUBLE,
  "organization_type" DOUBLE,
  "ext_source_1" DOUBLE,
  "ext_source_2" DOUBLE,
  "ext_source_3" DOUBLE,
  "apartments_avg" DOUBLE,
  "basementarea_avg" DOUBLE,
  "years_beginexpluatation_avg" DOUBLE,
  "years_build_avg" DOUBLE,
  "commonarea_avg" DOUBLE,
  "elevators_avg" DOUBLE,
  "entrances_avg" DOUBLE,
  "floorsmax_avg" DOUBLE,
  "floorsmin_avg" DOUBLE,
  "landarea_avg" DOUBLE,
  "livingapartments_avg" DOUBLE,
  "livingarea_avg" DOUBLE,
  "nonlivingapartments_avg" DOUBLE,
  "nonlivingarea_avg" DOUBLE,
  "apartments_mode" DOUBLE,
  "basementarea_mode" DOUBLE,
  "years_beginexpluatation_mode" DOUBLE,
  "years_build_mode" DOUBLE,
  "commonarea_mode" DOUBLE,
  "elevators_mode" DOUBLE,
  "entrances_mode" DOUBLE,
  "floorsmax_mode" DOUBLE,
  "floorsmin_mode" DOUBLE,
  "landarea_mode" DOUBLE,
  "livingapartments_mode" DOUBLE,
  "livingarea_mode" DOUBLE,
  "nonlivingapartments_mode" DOUBLE,
  "nonlivingarea_mode" DOUBLE,
  "apartments_medi" DOUBLE,
  "basementarea_medi" DOUBLE,
  "years_beginexpluatation_medi" DOUBLE,
  "years_build_medi" DOUBLE,
  "commonarea_medi" DOUBLE,
  "elevators_medi" DOUBLE,
  "entrances_medi" DOUBLE,
  "floorsmax_medi" DOUBLE,
  "floorsmin_medi" DOUBLE,
  "landarea_medi" DOUBLE,
  "livingapartments_medi" DOUBLE,
  "livingarea_medi" DOUBLE,
  "nonlivingapartments_medi" DOUBLE,
  "nonlivingarea_medi" DOUBLE,
  "fondkapremont_mode" DOUBLE,
  "housetype_mode" DOUBLE,
  "totalarea_mode" DOUBLE,
  "wallsmaterial_mode" DOUBLE,
  "emergencystate_mode" DOUBLE,
  "obs_30_cnt_social_circle" DOUBLE,
  "def_30_cnt_social_circle" DOUBLE,
  "obs_60_cnt_social_circle" DOUBLE,
  "def_60_cnt_social_circle" DOUBLE,
  "days_last_phone_change" DOUBLE,
  "flag_document_2" DOUBLE,
  "flag_document_3" DOUBLE,
  "flag_document_4" DOUBLE,
  "flag_document_5" DOUBLE,
  "flag_document_6" DOUBLE
);

Test Ohe Scaled No Null

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.test_ohe_scaled_no_null
  • 14.51 MB
  • 123005 rows
  • 345 columns
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CREATE TABLE test_ohe_scaled_no_null (
  "sk_id_curr" BIGINT,
  "amt_income_total" DOUBLE,
  "amt_credit" DOUBLE,
  "amt_annuity" DOUBLE,
  "amt_goods_price" DOUBLE,
  "region_population_relative" DOUBLE,
  "days_birth" DOUBLE,
  "days_employed" DOUBLE,
  "days_registration" DOUBLE,
  "days_id_publish" DOUBLE,
  "own_car_age" DOUBLE,
  "hour_appr_process_start" DOUBLE,
  "ext_source_1" DOUBLE,
  "ext_source_2" DOUBLE,
  "ext_source_3" DOUBLE,
  "apartments_avg" DOUBLE,
  "basementarea_avg" DOUBLE,
  "years_beginexpluatation_avg" DOUBLE,
  "years_build_avg" DOUBLE,
  "commonarea_avg" DOUBLE,
  "elevators_avg" DOUBLE,
  "entrances_avg" DOUBLE,
  "floorsmax_avg" DOUBLE,
  "floorsmin_avg" DOUBLE,
  "landarea_avg" DOUBLE,
  "livingapartments_avg" DOUBLE,
  "livingarea_avg" DOUBLE,
  "nonlivingapartments_avg" DOUBLE,
  "nonlivingarea_avg" DOUBLE,
  "apartments_mode" DOUBLE,
  "basementarea_mode" DOUBLE,
  "years_beginexpluatation_mode" DOUBLE,
  "years_build_mode" DOUBLE,
  "commonarea_mode" DOUBLE,
  "elevators_mode" DOUBLE,
  "entrances_mode" DOUBLE,
  "floorsmax_mode" DOUBLE,
  "floorsmin_mode" DOUBLE,
  "landarea_mode" DOUBLE,
  "livingapartments_mode" DOUBLE,
  "livingarea_mode" DOUBLE,
  "nonlivingapartments_mode" DOUBLE,
  "nonlivingarea_mode" DOUBLE,
  "apartments_medi" DOUBLE,
  "basementarea_medi" DOUBLE,
  "years_beginexpluatation_medi" DOUBLE,
  "years_build_medi" DOUBLE,
  "commonarea_medi" DOUBLE,
  "elevators_medi" DOUBLE,
  "entrances_medi" DOUBLE,
  "floorsmax_medi" DOUBLE,
  "floorsmin_medi" DOUBLE,
  "landarea_medi" DOUBLE,
  "livingapartments_medi" DOUBLE,
  "livingarea_medi" DOUBLE,
  "nonlivingapartments_medi" DOUBLE,
  "nonlivingarea_medi" DOUBLE,
  "totalarea_mode" DOUBLE,
  "obs_30_cnt_social_circle" DOUBLE,
  "def_30_cnt_social_circle" DOUBLE,
  "obs_60_cnt_social_circle" DOUBLE,
  "def_60_cnt_social_circle" DOUBLE,
  "days_last_phone_change" DOUBLE,
  "loan_rate" DOUBLE,
  "loan_income_ratio" DOUBLE,
  "annuity_income_ratio" DOUBLE,
  "name_contract_type_revolving_loans" DOUBLE,
  "code_gender_m" DOUBLE,
  "name_type_suite_children" DOUBLE,
  "name_type_suite_family" DOUBLE,
  "name_type_suite_group_of_people" DOUBLE,
  "name_type_suite_other_a" DOUBLE,
  "name_type_suite_other_b" DOUBLE,
  "name_type_suite_spouse_partner" DOUBLE,
  "name_type_suite_unaccompanied" DOUBLE,
  "name_income_type_businessman" DOUBLE,
  "name_income_type_commercial_associate" DOUBLE,
  "name_income_type_maternity_leave" DOUBLE,
  "name_income_type_pensioner" DOUBLE,
  "name_income_type_state_servant" DOUBLE,
  "name_income_type_student" DOUBLE,
  "name_income_type_unemployed" DOUBLE,
  "name_income_type_working" DOUBLE,
  "name_education_type_academic_degree" DOUBLE,
  "name_education_type_higher_education" DOUBLE,
  "name_education_type_incomplete_higher" DOUBLE,
  "name_education_type_lower_secondary" DOUBLE,
  "name_education_type_secondary_secondary_special" DOUBLE,
  "name_family_status_civil_marriage" DOUBLE,
  "name_family_status_married" DOUBLE,
  "name_family_status_separated" DOUBLE,
  "name_family_status_single_not_married" DOUBLE,
  "name_family_status_widow" DOUBLE,
  "name_housing_type_co_op_apartment" DOUBLE,
  "name_housing_type_house_apartment" DOUBLE,
  "name_housing_type_municipal_apartment" DOUBLE,
  "name_housing_type_office_apartment" DOUBLE,
  "name_housing_type_rented_apartment" DOUBLE,
  "name_housing_type_with_parents" DOUBLE,
  "occupation_type_accountants" DOUBLE
);

Test Scaled No Nulls

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.test_scaled_no_nulls
  • 13.05 MB
  • 123005 rows
  • 127 columns
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CREATE TABLE test_scaled_no_nulls (
  "sk_id_curr" BIGINT,
  "name_contract_type" VARCHAR,
  "code_gender" VARCHAR,
  "flag_own_car" VARCHAR,
  "flag_own_realty" VARCHAR,
  "cnt_children" BIGINT,
  "amt_income_total" DOUBLE,
  "amt_credit" DOUBLE,
  "amt_annuity" DOUBLE,
  "amt_goods_price" DOUBLE,
  "name_type_suite" VARCHAR,
  "name_income_type" VARCHAR,
  "name_education_type" VARCHAR,
  "name_family_status" VARCHAR,
  "name_housing_type" VARCHAR,
  "region_population_relative" DOUBLE,
  "days_birth" DOUBLE,
  "days_employed" DOUBLE,
  "days_registration" DOUBLE,
  "days_id_publish" DOUBLE,
  "own_car_age" DOUBLE,
  "flag_mobil" BIGINT,
  "flag_emp_phone" BIGINT,
  "flag_work_phone" BIGINT,
  "flag_cont_mobile" BIGINT,
  "flag_phone" BIGINT,
  "flag_email" BIGINT,
  "occupation_type" VARCHAR,
  "cnt_fam_members" DOUBLE,
  "region_rating_client" BIGINT,
  "region_rating_client_w_city" BIGINT,
  "weekday_appr_process_start" VARCHAR,
  "hour_appr_process_start" DOUBLE,
  "reg_region_not_live_region" BIGINT,
  "reg_region_not_work_region" BIGINT,
  "live_region_not_work_region" BIGINT,
  "reg_city_not_live_city" BIGINT,
  "reg_city_not_work_city" BIGINT,
  "live_city_not_work_city" BIGINT,
  "organization_type" VARCHAR,
  "ext_source_1" DOUBLE,
  "ext_source_2" DOUBLE,
  "ext_source_3" DOUBLE,
  "apartments_avg" DOUBLE,
  "basementarea_avg" DOUBLE,
  "years_beginexpluatation_avg" DOUBLE,
  "years_build_avg" DOUBLE,
  "commonarea_avg" DOUBLE,
  "elevators_avg" DOUBLE,
  "entrances_avg" DOUBLE,
  "floorsmax_avg" DOUBLE,
  "floorsmin_avg" DOUBLE,
  "landarea_avg" DOUBLE,
  "livingapartments_avg" DOUBLE,
  "livingarea_avg" DOUBLE,
  "nonlivingapartments_avg" DOUBLE,
  "nonlivingarea_avg" DOUBLE,
  "apartments_mode" DOUBLE,
  "basementarea_mode" DOUBLE,
  "years_beginexpluatation_mode" DOUBLE,
  "years_build_mode" DOUBLE,
  "commonarea_mode" DOUBLE,
  "elevators_mode" DOUBLE,
  "entrances_mode" DOUBLE,
  "floorsmax_mode" DOUBLE,
  "floorsmin_mode" DOUBLE,
  "landarea_mode" DOUBLE,
  "livingapartments_mode" DOUBLE,
  "livingarea_mode" DOUBLE,
  "nonlivingapartments_mode" DOUBLE,
  "nonlivingarea_mode" DOUBLE,
  "apartments_medi" DOUBLE,
  "basementarea_medi" DOUBLE,
  "years_beginexpluatation_medi" DOUBLE,
  "years_build_medi" DOUBLE,
  "commonarea_medi" DOUBLE,
  "elevators_medi" DOUBLE,
  "entrances_medi" DOUBLE,
  "floorsmax_medi" DOUBLE,
  "floorsmin_medi" DOUBLE,
  "landarea_medi" DOUBLE,
  "livingapartments_medi" DOUBLE,
  "livingarea_medi" DOUBLE,
  "nonlivingapartments_medi" DOUBLE,
  "nonlivingarea_medi" DOUBLE,
  "fondkapremont_mode" VARCHAR,
  "housetype_mode" VARCHAR,
  "totalarea_mode" DOUBLE,
  "wallsmaterial_mode" VARCHAR,
  "emergencystate_mode" VARCHAR,
  "obs_30_cnt_social_circle" DOUBLE,
  "def_30_cnt_social_circle" DOUBLE,
  "obs_60_cnt_social_circle" DOUBLE,
  "def_60_cnt_social_circle" DOUBLE,
  "days_last_phone_change" DOUBLE,
  "flag_document_2" BIGINT,
  "flag_document_3" BIGINT,
  "flag_document_4" BIGINT,
  "flag_document_5" BIGINT,
  "flag_document_6" BIGINT
);

Test With New Features

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.test_with_new_features
  • 11.56 MB
  • 123005 rows
  • 127 columns
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CREATE TABLE test_with_new_features (
  "sk_id_curr" BIGINT,
  "name_contract_type" VARCHAR,
  "code_gender" VARCHAR,
  "flag_own_car" VARCHAR,
  "flag_own_realty" VARCHAR,
  "cnt_children" BIGINT,
  "amt_income_total" DOUBLE,
  "amt_credit" DOUBLE,
  "amt_annuity" DOUBLE,
  "amt_goods_price" DOUBLE,
  "name_type_suite" VARCHAR,
  "name_income_type" VARCHAR,
  "name_education_type" VARCHAR,
  "name_family_status" VARCHAR,
  "name_housing_type" VARCHAR,
  "region_population_relative" DOUBLE,
  "days_birth" BIGINT,
  "days_employed" BIGINT,
  "days_registration" DOUBLE,
  "days_id_publish" BIGINT,
  "own_car_age" DOUBLE,
  "flag_mobil" BIGINT,
  "flag_emp_phone" BIGINT,
  "flag_work_phone" BIGINT,
  "flag_cont_mobile" BIGINT,
  "flag_phone" BIGINT,
  "flag_email" BIGINT,
  "occupation_type" VARCHAR,
  "cnt_fam_members" DOUBLE,
  "region_rating_client" BIGINT,
  "region_rating_client_w_city" BIGINT,
  "weekday_appr_process_start" VARCHAR,
  "hour_appr_process_start" BIGINT,
  "reg_region_not_live_region" BIGINT,
  "reg_region_not_work_region" BIGINT,
  "live_region_not_work_region" BIGINT,
  "reg_city_not_live_city" BIGINT,
  "reg_city_not_work_city" BIGINT,
  "live_city_not_work_city" BIGINT,
  "organization_type" VARCHAR,
  "ext_source_1" DOUBLE,
  "ext_source_2" DOUBLE,
  "ext_source_3" DOUBLE,
  "apartments_avg" DOUBLE,
  "basementarea_avg" DOUBLE,
  "years_beginexpluatation_avg" DOUBLE,
  "years_build_avg" DOUBLE,
  "commonarea_avg" DOUBLE,
  "elevators_avg" DOUBLE,
  "entrances_avg" DOUBLE,
  "floorsmax_avg" DOUBLE,
  "floorsmin_avg" DOUBLE,
  "landarea_avg" DOUBLE,
  "livingapartments_avg" DOUBLE,
  "livingarea_avg" DOUBLE,
  "nonlivingapartments_avg" DOUBLE,
  "nonlivingarea_avg" DOUBLE,
  "apartments_mode" DOUBLE,
  "basementarea_mode" DOUBLE,
  "years_beginexpluatation_mode" DOUBLE,
  "years_build_mode" DOUBLE,
  "commonarea_mode" DOUBLE,
  "elevators_mode" DOUBLE,
  "entrances_mode" DOUBLE,
  "floorsmax_mode" DOUBLE,
  "floorsmin_mode" DOUBLE,
  "landarea_mode" DOUBLE,
  "livingapartments_mode" DOUBLE,
  "livingarea_mode" DOUBLE,
  "nonlivingapartments_mode" DOUBLE,
  "nonlivingarea_mode" DOUBLE,
  "apartments_medi" DOUBLE,
  "basementarea_medi" DOUBLE,
  "years_beginexpluatation_medi" DOUBLE,
  "years_build_medi" DOUBLE,
  "commonarea_medi" DOUBLE,
  "elevators_medi" DOUBLE,
  "entrances_medi" DOUBLE,
  "floorsmax_medi" DOUBLE,
  "floorsmin_medi" DOUBLE,
  "landarea_medi" DOUBLE,
  "livingapartments_medi" DOUBLE,
  "livingarea_medi" DOUBLE,
  "nonlivingapartments_medi" DOUBLE,
  "nonlivingarea_medi" DOUBLE,
  "fondkapremont_mode" VARCHAR,
  "housetype_mode" VARCHAR,
  "totalarea_mode" DOUBLE,
  "wallsmaterial_mode" VARCHAR,
  "emergencystate_mode" VARCHAR,
  "obs_30_cnt_social_circle" DOUBLE,
  "def_30_cnt_social_circle" DOUBLE,
  "obs_60_cnt_social_circle" DOUBLE,
  "def_60_cnt_social_circle" DOUBLE,
  "days_last_phone_change" DOUBLE,
  "flag_document_2" BIGINT,
  "flag_document_3" BIGINT,
  "flag_document_4" BIGINT,
  "flag_document_5" BIGINT,
  "flag_document_6" BIGINT
);

Train Le Scaled No Null

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.train_le_scaled_no_null
  • 18.49 MB
  • 182681 rows
  • 129 columns
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CREATE TABLE train_le_scaled_no_null (
  "sk_id_curr" BIGINT,
  "name_contract_type" DOUBLE,
  "code_gender" DOUBLE,
  "flag_own_car" DOUBLE,
  "flag_own_realty" DOUBLE,
  "cnt_children" DOUBLE,
  "amt_income_total" DOUBLE,
  "amt_credit" DOUBLE,
  "amt_annuity" DOUBLE,
  "amt_goods_price" DOUBLE,
  "name_type_suite" DOUBLE,
  "name_income_type" DOUBLE,
  "name_education_type" DOUBLE,
  "name_family_status" DOUBLE,
  "name_housing_type" DOUBLE,
  "region_population_relative" DOUBLE,
  "days_birth" DOUBLE,
  "days_employed" DOUBLE,
  "days_registration" DOUBLE,
  "days_id_publish" DOUBLE,
  "own_car_age" DOUBLE,
  "flag_mobil" DOUBLE,
  "flag_emp_phone" DOUBLE,
  "flag_work_phone" DOUBLE,
  "flag_cont_mobile" DOUBLE,
  "flag_phone" DOUBLE,
  "flag_email" DOUBLE,
  "occupation_type" DOUBLE,
  "cnt_fam_members" DOUBLE,
  "region_rating_client" DOUBLE,
  "region_rating_client_w_city" DOUBLE,
  "weekday_appr_process_start" DOUBLE,
  "hour_appr_process_start" DOUBLE,
  "reg_region_not_live_region" DOUBLE,
  "reg_region_not_work_region" DOUBLE,
  "live_region_not_work_region" DOUBLE,
  "reg_city_not_live_city" DOUBLE,
  "reg_city_not_work_city" DOUBLE,
  "live_city_not_work_city" DOUBLE,
  "organization_type" DOUBLE,
  "ext_source_1" DOUBLE,
  "ext_source_2" DOUBLE,
  "ext_source_3" DOUBLE,
  "apartments_avg" DOUBLE,
  "basementarea_avg" DOUBLE,
  "years_beginexpluatation_avg" DOUBLE,
  "years_build_avg" DOUBLE,
  "commonarea_avg" DOUBLE,
  "elevators_avg" DOUBLE,
  "entrances_avg" DOUBLE,
  "floorsmax_avg" DOUBLE,
  "floorsmin_avg" DOUBLE,
  "landarea_avg" DOUBLE,
  "livingapartments_avg" DOUBLE,
  "livingarea_avg" DOUBLE,
  "nonlivingapartments_avg" DOUBLE,
  "nonlivingarea_avg" DOUBLE,
  "apartments_mode" DOUBLE,
  "basementarea_mode" DOUBLE,
  "years_beginexpluatation_mode" DOUBLE,
  "years_build_mode" DOUBLE,
  "commonarea_mode" DOUBLE,
  "elevators_mode" DOUBLE,
  "entrances_mode" DOUBLE,
  "floorsmax_mode" DOUBLE,
  "floorsmin_mode" DOUBLE,
  "landarea_mode" DOUBLE,
  "livingapartments_mode" DOUBLE,
  "livingarea_mode" DOUBLE,
  "nonlivingapartments_mode" DOUBLE,
  "nonlivingarea_mode" DOUBLE,
  "apartments_medi" DOUBLE,
  "basementarea_medi" DOUBLE,
  "years_beginexpluatation_medi" DOUBLE,
  "years_build_medi" DOUBLE,
  "commonarea_medi" DOUBLE,
  "elevators_medi" DOUBLE,
  "entrances_medi" DOUBLE,
  "floorsmax_medi" DOUBLE,
  "floorsmin_medi" DOUBLE,
  "landarea_medi" DOUBLE,
  "livingapartments_medi" DOUBLE,
  "livingarea_medi" DOUBLE,
  "nonlivingapartments_medi" DOUBLE,
  "nonlivingarea_medi" DOUBLE,
  "fondkapremont_mode" DOUBLE,
  "housetype_mode" DOUBLE,
  "totalarea_mode" DOUBLE,
  "wallsmaterial_mode" DOUBLE,
  "emergencystate_mode" DOUBLE,
  "obs_30_cnt_social_circle" DOUBLE,
  "def_30_cnt_social_circle" DOUBLE,
  "obs_60_cnt_social_circle" DOUBLE,
  "def_60_cnt_social_circle" DOUBLE,
  "days_last_phone_change" DOUBLE,
  "flag_document_2" DOUBLE,
  "flag_document_3" DOUBLE,
  "flag_document_4" DOUBLE,
  "flag_document_5" DOUBLE,
  "flag_document_6" DOUBLE
);

Train Ohe Scaled No Null

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.train_ohe_scaled_no_null
  • 21.8 MB
  • 184491 rows
  • 347 columns
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CREATE TABLE train_ohe_scaled_no_null (
  "sk_id_curr" DOUBLE,
  "amt_income_total" DOUBLE,
  "amt_credit" DOUBLE,
  "amt_annuity" DOUBLE,
  "amt_goods_price" DOUBLE,
  "region_population_relative" DOUBLE,
  "days_birth" DOUBLE,
  "days_employed" DOUBLE,
  "days_registration" DOUBLE,
  "days_id_publish" DOUBLE,
  "own_car_age" DOUBLE,
  "hour_appr_process_start" DOUBLE,
  "ext_source_1" DOUBLE,
  "ext_source_2" DOUBLE,
  "ext_source_3" DOUBLE,
  "apartments_avg" DOUBLE,
  "basementarea_avg" DOUBLE,
  "years_beginexpluatation_avg" DOUBLE,
  "years_build_avg" DOUBLE,
  "commonarea_avg" DOUBLE,
  "elevators_avg" DOUBLE,
  "entrances_avg" DOUBLE,
  "floorsmax_avg" DOUBLE,
  "floorsmin_avg" DOUBLE,
  "landarea_avg" DOUBLE,
  "livingapartments_avg" DOUBLE,
  "livingarea_avg" DOUBLE,
  "nonlivingapartments_avg" DOUBLE,
  "nonlivingarea_avg" DOUBLE,
  "apartments_mode" DOUBLE,
  "basementarea_mode" DOUBLE,
  "years_beginexpluatation_mode" DOUBLE,
  "years_build_mode" DOUBLE,
  "commonarea_mode" DOUBLE,
  "elevators_mode" DOUBLE,
  "entrances_mode" DOUBLE,
  "floorsmax_mode" DOUBLE,
  "floorsmin_mode" DOUBLE,
  "landarea_mode" DOUBLE,
  "livingapartments_mode" DOUBLE,
  "livingarea_mode" DOUBLE,
  "nonlivingapartments_mode" DOUBLE,
  "nonlivingarea_mode" DOUBLE,
  "apartments_medi" DOUBLE,
  "basementarea_medi" DOUBLE,
  "years_beginexpluatation_medi" DOUBLE,
  "years_build_medi" DOUBLE,
  "commonarea_medi" DOUBLE,
  "elevators_medi" DOUBLE,
  "entrances_medi" DOUBLE,
  "floorsmax_medi" DOUBLE,
  "floorsmin_medi" DOUBLE,
  "landarea_medi" DOUBLE,
  "livingapartments_medi" DOUBLE,
  "livingarea_medi" DOUBLE,
  "nonlivingapartments_medi" DOUBLE,
  "nonlivingarea_medi" DOUBLE,
  "totalarea_mode" DOUBLE,
  "obs_30_cnt_social_circle" DOUBLE,
  "def_30_cnt_social_circle" DOUBLE,
  "obs_60_cnt_social_circle" DOUBLE,
  "def_60_cnt_social_circle" DOUBLE,
  "days_last_phone_change" DOUBLE,
  "target" DOUBLE,
  "loan_rate" DOUBLE,
  "loan_income_ratio" DOUBLE,
  "annuity_income_ratio" DOUBLE,
  "kfold" DOUBLE,
  "name_contract_type_revolving_loans" DOUBLE,
  "code_gender_m" DOUBLE,
  "name_type_suite_children" DOUBLE,
  "name_type_suite_family" DOUBLE,
  "name_type_suite_group_of_people" DOUBLE,
  "name_type_suite_other_a" DOUBLE,
  "name_type_suite_other_b" DOUBLE,
  "name_type_suite_spouse_partner" DOUBLE,
  "name_type_suite_unaccompanied" DOUBLE,
  "name_income_type_businessman" DOUBLE,
  "name_income_type_commercial_associate" DOUBLE,
  "name_income_type_maternity_leave" DOUBLE,
  "name_income_type_pensioner" DOUBLE,
  "name_income_type_state_servant" DOUBLE,
  "name_income_type_student" DOUBLE,
  "name_income_type_unemployed" DOUBLE,
  "name_income_type_working" DOUBLE,
  "name_education_type_academic_degree" DOUBLE,
  "name_education_type_higher_education" DOUBLE,
  "name_education_type_incomplete_higher" DOUBLE,
  "name_education_type_lower_secondary" DOUBLE,
  "name_education_type_secondary_secondary_special" DOUBLE,
  "name_family_status_civil_marriage" DOUBLE,
  "name_family_status_married" DOUBLE,
  "name_family_status_separated" DOUBLE,
  "name_family_status_single_not_married" DOUBLE,
  "name_family_status_widow" DOUBLE,
  "name_housing_type_co_op_apartment" DOUBLE,
  "name_housing_type_house_apartment" DOUBLE,
  "name_housing_type_municipal_apartment" DOUBLE,
  "name_housing_type_office_apartment" DOUBLE,
  "name_housing_type_rented_apartment" DOUBLE
);

Train Scaled No Nulls

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.train_scaled_no_nulls
  • 19.45 MB
  • 182681 rows
  • 129 columns
Loading... 

CREATE TABLE train_scaled_no_nulls (
  "sk_id_curr" BIGINT,
  "name_contract_type" VARCHAR,
  "code_gender" VARCHAR,
  "flag_own_car" VARCHAR,
  "flag_own_realty" VARCHAR,
  "cnt_children" BIGINT,
  "amt_income_total" DOUBLE,
  "amt_credit" DOUBLE,
  "amt_annuity" DOUBLE,
  "amt_goods_price" DOUBLE,
  "name_type_suite" VARCHAR,
  "name_income_type" VARCHAR,
  "name_education_type" VARCHAR,
  "name_family_status" VARCHAR,
  "name_housing_type" VARCHAR,
  "region_population_relative" DOUBLE,
  "days_birth" DOUBLE,
  "days_employed" DOUBLE,
  "days_registration" DOUBLE,
  "days_id_publish" DOUBLE,
  "own_car_age" DOUBLE,
  "flag_mobil" BIGINT,
  "flag_emp_phone" BIGINT,
  "flag_work_phone" BIGINT,
  "flag_cont_mobile" BIGINT,
  "flag_phone" BIGINT,
  "flag_email" BIGINT,
  "occupation_type" VARCHAR,
  "cnt_fam_members" DOUBLE,
  "region_rating_client" BIGINT,
  "region_rating_client_w_city" BIGINT,
  "weekday_appr_process_start" VARCHAR,
  "hour_appr_process_start" DOUBLE,
  "reg_region_not_live_region" BIGINT,
  "reg_region_not_work_region" BIGINT,
  "live_region_not_work_region" BIGINT,
  "reg_city_not_live_city" BIGINT,
  "reg_city_not_work_city" BIGINT,
  "live_city_not_work_city" BIGINT,
  "organization_type" VARCHAR,
  "ext_source_1" DOUBLE,
  "ext_source_2" DOUBLE,
  "ext_source_3" DOUBLE,
  "apartments_avg" DOUBLE,
  "basementarea_avg" DOUBLE,
  "years_beginexpluatation_avg" DOUBLE,
  "years_build_avg" DOUBLE,
  "commonarea_avg" DOUBLE,
  "elevators_avg" DOUBLE,
  "entrances_avg" DOUBLE,
  "floorsmax_avg" DOUBLE,
  "floorsmin_avg" DOUBLE,
  "landarea_avg" DOUBLE,
  "livingapartments_avg" DOUBLE,
  "livingarea_avg" DOUBLE,
  "nonlivingapartments_avg" DOUBLE,
  "nonlivingarea_avg" DOUBLE,
  "apartments_mode" DOUBLE,
  "basementarea_mode" DOUBLE,
  "years_beginexpluatation_mode" DOUBLE,
  "years_build_mode" DOUBLE,
  "commonarea_mode" DOUBLE,
  "elevators_mode" DOUBLE,
  "entrances_mode" DOUBLE,
  "floorsmax_mode" DOUBLE,
  "floorsmin_mode" DOUBLE,
  "landarea_mode" DOUBLE,
  "livingapartments_mode" DOUBLE,
  "livingarea_mode" DOUBLE,
  "nonlivingapartments_mode" DOUBLE,
  "nonlivingarea_mode" DOUBLE,
  "apartments_medi" DOUBLE,
  "basementarea_medi" DOUBLE,
  "years_beginexpluatation_medi" DOUBLE,
  "years_build_medi" DOUBLE,
  "commonarea_medi" DOUBLE,
  "elevators_medi" DOUBLE,
  "entrances_medi" DOUBLE,
  "floorsmax_medi" DOUBLE,
  "floorsmin_medi" DOUBLE,
  "landarea_medi" DOUBLE,
  "livingapartments_medi" DOUBLE,
  "livingarea_medi" DOUBLE,
  "nonlivingapartments_medi" DOUBLE,
  "nonlivingarea_medi" DOUBLE,
  "fondkapremont_mode" VARCHAR,
  "housetype_mode" VARCHAR,
  "totalarea_mode" DOUBLE,
  "wallsmaterial_mode" VARCHAR,
  "emergencystate_mode" VARCHAR,
  "obs_30_cnt_social_circle" DOUBLE,
  "def_30_cnt_social_circle" DOUBLE,
  "obs_60_cnt_social_circle" DOUBLE,
  "def_60_cnt_social_circle" DOUBLE,
  "days_last_phone_change" DOUBLE,
  "flag_document_2" BIGINT,
  "flag_document_3" BIGINT,
  "flag_document_4" BIGINT,
  "flag_document_5" BIGINT,
  "flag_document_6" BIGINT
);

Train With New Features

@kaggle.defcodeking_home_loan_prediction_prepared_datasets.train_with_new_features
  • 17.19 MB
  • 182681 rows
  • 129 columns
Loading... 

CREATE TABLE train_with_new_features (
  "sk_id_curr" BIGINT,
  "name_contract_type" VARCHAR,
  "code_gender" VARCHAR,
  "flag_own_car" VARCHAR,
  "flag_own_realty" VARCHAR,
  "cnt_children" BIGINT,
  "amt_income_total" DOUBLE,
  "amt_credit" DOUBLE,
  "amt_annuity" DOUBLE,
  "amt_goods_price" DOUBLE,
  "name_type_suite" VARCHAR,
  "name_income_type" VARCHAR,
  "name_education_type" VARCHAR,
  "name_family_status" VARCHAR,
  "name_housing_type" VARCHAR,
  "region_population_relative" DOUBLE,
  "days_birth" BIGINT,
  "days_employed" DOUBLE,
  "days_registration" DOUBLE,
  "days_id_publish" BIGINT,
  "own_car_age" DOUBLE,
  "flag_mobil" BIGINT,
  "flag_emp_phone" BIGINT,
  "flag_work_phone" BIGINT,
  "flag_cont_mobile" BIGINT,
  "flag_phone" BIGINT,
  "flag_email" BIGINT,
  "occupation_type" VARCHAR,
  "cnt_fam_members" DOUBLE,
  "region_rating_client" BIGINT,
  "region_rating_client_w_city" BIGINT,
  "weekday_appr_process_start" VARCHAR,
  "hour_appr_process_start" BIGINT,
  "reg_region_not_live_region" BIGINT,
  "reg_region_not_work_region" BIGINT,
  "live_region_not_work_region" BIGINT,
  "reg_city_not_live_city" BIGINT,
  "reg_city_not_work_city" BIGINT,
  "live_city_not_work_city" BIGINT,
  "organization_type" VARCHAR,
  "ext_source_1" DOUBLE,
  "ext_source_2" DOUBLE,
  "ext_source_3" DOUBLE,
  "apartments_avg" DOUBLE,
  "basementarea_avg" DOUBLE,
  "years_beginexpluatation_avg" DOUBLE,
  "years_build_avg" DOUBLE,
  "commonarea_avg" DOUBLE,
  "elevators_avg" DOUBLE,
  "entrances_avg" DOUBLE,
  "floorsmax_avg" DOUBLE,
  "floorsmin_avg" DOUBLE,
  "landarea_avg" DOUBLE,
  "livingapartments_avg" DOUBLE,
  "livingarea_avg" DOUBLE,
  "nonlivingapartments_avg" DOUBLE,
  "nonlivingarea_avg" DOUBLE,
  "apartments_mode" DOUBLE,
  "basementarea_mode" DOUBLE,
  "years_beginexpluatation_mode" DOUBLE,
  "years_build_mode" DOUBLE,
  "commonarea_mode" DOUBLE,
  "elevators_mode" DOUBLE,
  "entrances_mode" DOUBLE,
  "floorsmax_mode" DOUBLE,
  "floorsmin_mode" DOUBLE,
  "landarea_mode" DOUBLE,
  "livingapartments_mode" DOUBLE,
  "livingarea_mode" DOUBLE,
  "nonlivingapartments_mode" DOUBLE,
  "nonlivingarea_mode" DOUBLE,
  "apartments_medi" DOUBLE,
  "basementarea_medi" DOUBLE,
  "years_beginexpluatation_medi" DOUBLE,
  "years_build_medi" DOUBLE,
  "commonarea_medi" DOUBLE,
  "elevators_medi" DOUBLE,
  "entrances_medi" DOUBLE,
  "floorsmax_medi" DOUBLE,
  "floorsmin_medi" DOUBLE,
  "landarea_medi" DOUBLE,
  "livingapartments_medi" DOUBLE,
  "livingarea_medi" DOUBLE,
  "nonlivingapartments_medi" DOUBLE,
  "nonlivingarea_medi" DOUBLE,
  "fondkapremont_mode" VARCHAR,
  "housetype_mode" VARCHAR,
  "totalarea_mode" DOUBLE,
  "wallsmaterial_mode" VARCHAR,
  "emergencystate_mode" VARCHAR,
  "obs_30_cnt_social_circle" DOUBLE,
  "def_30_cnt_social_circle" DOUBLE,
  "obs_60_cnt_social_circle" DOUBLE,
  "def_60_cnt_social_circle" DOUBLE,
  "days_last_phone_change" DOUBLE,
  "flag_document_2" BIGINT,
  "flag_document_3" BIGINT,
  "flag_document_4" BIGINT,
  "flag_document_5" BIGINT,
  "flag_document_6" BIGINT
);

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