项目作者: sushmamareddy

项目描述 :
Feature Selection
高级语言: Jupyter Notebook
项目地址: git://github.com/sushmamareddy/Feature-Selection.git
创建时间: 2020-08-11T10:05:35Z
项目社区:https://github.com/sushmamareddy/Feature-Selection

开源协议:

下载


Feature-Selection

Feature Selection is a process where we select a subset of features which contribute most to the output variable. If there are n features and out of them only few features have relavance with the output variable then, instead of training the model with all the n features we can select only few features so the performance of the model increases and could overcome the problem of curse of dimensionality.

Feature Selection Types

  1. Filter Method

    checks the relevance of features with output variable.

    1. 1) CHI squared test
    2. 2) ANOVA test
    3. 3) Correlation Coefficient
  2. Wrapper methods

    1. 1) forward Selection
    2. 2) Backward elimination
  3. Embedded methods

    Learns the feature selection while building the model.

    1. 1) Decision Tree