Example of a ML algorithm. In the example is used GradientBoostingClassifier and GridSearchCV.
Train and test data contain the information about paid and unpaid fines. The task is to predict whether a fine will be paid on time.
More detailed information about data is in the folder "datasets".
The output is:
| ticket_id | result |
|---|---|
| 284932 | 0.205176 |
| 285362 | 0.094864 |
| 285361 | 0.228263 |
| 285338 | 0.205176 |
| 285346 | 0.228263 |
| ... | ... |
| 376496 | 0.094864 |
| 376497 | 0.094864 |
| 376499 | 0.228263 |
| 376500 | 0.228263 |
| 369851 | 0.486462 |
| Name: compliance, Length: 61001, dtype: float32 |