Automatic Feature Selection in Python: An Essential Guideby@davisdavid
24,741 reads

Automatic Feature Selection in Python: An Essential Guide

July 20th 2021
6 min
by @davisdavid 24,741 reads
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Featurewiz is a new open-source python package for automatically creating and selecting important features in your dataset that will create the best model with higher performance. It uses the SULOV algorithm and Recursive XGBoost to reduce features to select the best features for the model. It also uses advanced feature engineering strategies to create new features before selecting the best set of features with a single line of code. The featurewiz can automatically detect if the problem is regression or classification. It can run on most Python 3.0 (low cost) or very high cost (very high cost)

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