Features Selection by Using Xverse Packageby@davisdavid
1,145 reads

Features Selection by Using Xverse Package

May 15th 2021
5 min
by @davisdavid 1,145 reads
tldt arrow
Read on Terminal Reader🖨️

Too Long; Didn't Read

Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested. Xverse is the python package for machine learning to assist Data Scientists with feature transformation and feature selection. The most popular feature selection methods are Pearson’s correlation coefficient, Spearman's rank coefficient and Chi-Squared test. When an algorithm picks a feature, it gives a vote for that feature, Xverse calculates the total votes for each feature and then picks the best ones based on votes.

Companies Mentioned

Mention Thumbnail
Mention Thumbnail
featured image - Features Selection by Using Xverse Package
Davis David HackerNoon profile picture

@davisdavid

Davis David

About @davisdavid
LEARN MORE ABOUT @DAVISDAVID'S EXPERTISE AND PLACE ON THE INTERNET.
react to story with heart

RELATED STORIES

L O A D I N G
. . . comments & more!
Hackernoon hq - po box 2206, edwards, colorado 81632, usa