This repository contains helper classes for the initial evaluation of scikit-learn predictors. It is based on a previously constructed Notebook and is currently in development.
sklhelpClassify - This class imports a pandas DataFrame and performs a k-fold validation test on various scikit-learn classifiers using predefined parameters and reports ranked results.
| Method | Description |
|---|---|
| get_data(df) | Imports a pandas DataFrame. |
| set_target(name) | Defines the name of the column to be predicted. |
| kfold() | Runs a k-fold validation test. Default k=5. |
| ranked_summary() | Reports mean, median, and standard deviation for all models, ranked by mean. |
| report() | View all simulation results. |