🌞Easy prediction with Lazy Predict
Lazy Predict is a Python-library for comparing performance of different machine learning models in a dataset. In fact, this is a wrapper that allows you to quickly fit all ML models to a dataset and compare their performance in just a couple of lines of code. Lazy Predict works great with regression and classification of machine learning model comparison results by the most important metrics: R-Squared, RMSE, Accuracy (Precision), F1 Score and Training Time.
The library is open source and highly compatible with sklearn, numpy, and other Python libraries that are used in Data Science.
https://lazypredict.readthedocs.io/en/stable/readme.html