df.columns.values
['checking_status' 'duration' 'credit_history' 'purpose' 'credit_amount' 'savings_status' 'employment' 'installment_commitment' 'personal_status' 'other_parties' 'residence_since' 'property_magnitude' 'age' 'other_payment_plans' 'housing' 'existing_credits' 'job' 'num_dependents' 'own_telephone' 'foreign_worker' 'class']
| duration | credit_amount | installment_commitment | residence_since | age | existing_credits | num_dependents | |
|---|---|---|---|---|---|---|---|
| count | 1000.000000 | 1000.000000 | 1000.000000 | 1000.000000 | 1000.000000 | 1000.000000 | 1000.000000 |
| mean | 20.903000 | 3271.258000 | 2.973000 | 2.845000 | 35.546000 | 1.407000 | 1.155000 |
| std | 12.058814 | 2822.736876 | 1.118715 | 1.103718 | 11.375469 | 0.577654 | 0.362086 |
| min | 4.000000 | 250.000000 | 1.000000 | 1.000000 | 19.000000 | 1.000000 | 1.000000 |
| 25% | 12.000000 | 1365.500000 | 2.000000 | 2.000000 | 27.000000 | 1.000000 | 1.000000 |
| 50% | 18.000000 | 2319.500000 | 3.000000 | 3.000000 | 33.000000 | 1.000000 | 1.000000 |
| 75% | 24.000000 | 3972.250000 | 4.000000 | 4.000000 | 42.000000 | 2.000000 | 1.000000 |
| max | 72.000000 | 18424.000000 | 4.000000 | 4.000000 | 75.000000 | 4.000000 | 2.000000 |
| Algorithm | Accuracy | Precision | Recall | F1-support | AUC |
|---|---|---|---|---|---|
| Logistic Regression | 0.696667 | 0.729167 | 0.870647 | 0.793651 | 0.607041 |
| Linear SVC | 0.67 | 0.675862 | 0.975124 | 0.798371 | 0.512815 |
| Decision Tree classifier | 0.676667 | 0.742991 | 0.791045 | 0.766265 | 0.617745 |
| Random Forest | 0.733333 | 0.7713 | 0.855721 | 0.811321 | 0.670285 |
| Multilayer Perceptron | 0.663333 | 0.7713 | 0.855721 | 0.811321 | 0.670285 |
