Simple python project that evaluates multiple ML algorithms in order to get know which algorithm performs the best
- This simple project, takes the data and fits iteratively multiple machine learning algorithms using sklearn cross_validate function.
Usage:
python3 evaluate_multiple_algorithms.py -d <dataset_path> -p <classification or regression> -t <target column name>
After fitting, the program reports the results.
First it shows the results dataframe:
And then, it builds two plots:
Bar plot with the fit times
Bar plot with the mean of a certain metric (for example accuracy)
