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 |