Baselight

Loan Prediction With 3 Problem Statement

3 problem statement that covers classification and regression task

@kaggle.yashpaloswal_loan_prediction_with_3_problem_statement

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About this Dataset

Loan Prediction With 3 Problem Statement

The data contains client loan data and whether there loan got approved or not.
The main goal is to find out loan approval prediction over testing data using model (created using training data)

Tables

Sample Submission

@kaggle.yashpaloswal_loan_prediction_with_3_problem_statement.sample_submission
  • 6.59 KB
  • 367 rows
  • 3 columns
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CREATE TABLE sample_submission (
  "unnamed_0" BIGINT,
  "loan_id" VARCHAR,
  "loan_status" VARCHAR
);

Testing Set

@kaggle.yashpaloswal_loan_prediction_with_3_problem_statement.testing_set
  • 15.21 KB
  • 367 rows
  • 12 columns
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CREATE TABLE testing_set (
  "loan_id" VARCHAR,
  "gender" VARCHAR,
  "married" VARCHAR,
  "dependents" VARCHAR,
  "education" VARCHAR,
  "self_employed" VARCHAR,
  "applicantincome" BIGINT,
  "coapplicantincome" BIGINT,
  "loanamount" DOUBLE,
  "loan_amount_term" DOUBLE,
  "credit_history" DOUBLE,
  "property_area" VARCHAR
);

Training Set

@kaggle.yashpaloswal_loan_prediction_with_3_problem_statement.training_set
  • 20.28 KB
  • 614 rows
  • 13 columns
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CREATE TABLE training_set (
  "loan_id" VARCHAR,
  "gender" VARCHAR,
  "married" VARCHAR,
  "dependents" VARCHAR,
  "education" VARCHAR,
  "self_employed" VARCHAR,
  "applicantincome" DOUBLE,
  "coapplicantincome" DOUBLE,
  "loanamount" DOUBLE,
  "loan_amount_term" DOUBLE,
  "credit_history" DOUBLE,
  "property_area" VARCHAR,
  "loan_status" VARCHAR
);