A Journey Towards Bio-inspired Techniques in Software Engineering by Jagannath Singh & Saurabh Bilgaiyan & Bhabani Shankar Prasad Mishra & Satchidananda Dehuri

Author:Jagannath Singh & Saurabh Bilgaiyan & Bhabani Shankar Prasad Mishra & Satchidananda Dehuri
Language: eng
Format: epub
ISBN: 9783030409289
Publisher: Springer International Publishing

In information gain feature selection, significance of features are planted on the basis of the information gain in relation to the class [33].

7.4.5 Logistic Regression Analysis

Logistic regression analysis is a statistical review approach [34]. For this study, Univariate Logistic Regression (ULR) analysis has been recognized to verify the degree of significance for each set of features. In the current work, we considered two benchmarks of LR model which recognized to discover the level of importance of every set of feature and also utilized to grade the features set. These benchmarks are:

1. Importance of regression coefficient: The coefficient measure of features indicates the degree of correlation of every set of features with malwares.

2. P-value: P-value i.e., implication level indicates the significance of correlation.

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