Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The poor clinical accuracy to predict the survival of colon cancer patients is associated with a high incidence rate and a poor 3-year survival rate. This study aimed to identify the poor prognostic ...

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Logistic regression evaluates relationships between independent factors and a categorical dependent variable using a logistic curve. The loss function in logistic regression aims to classify data ...

Logistic Regression is one of the basic yet complex machine learning algorithm. This is often the starting point of a classification problem. This repository will help in understanding the ...

Copyright © 2014 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). In ...

Abstract: In this paper, we discuss the challenge of making logistic regression models able to predict fault-prone object-oriented classes across software projects. Several studies have obtained ...

Abstract: In this paper, we discuss the challenge of making logistic regression models able to predict fault-prone object-oriented classes across software projects. Several studies have obtained ...