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Logistic Regression Analysis

Data Science Revealed, 2021
This chapter covers the logistic regression concept and implementation in a structured way. Preceding chapters introduced supervised learning and concentrated on the parametric method. In supervised learning, we present a model with a set of correct answers, and we then allow a model to predict unseen data.
Tshepo Chris Nokeri
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Logistic Regression Analysis

Advanced Statistics for Testing Assumed Casual Relationships, 2020
This chapter describes the logistic regression. It is a powerful statistical technique for examining the assumed causal relationships between a set of independent variables on the probability of occurrence of an event which is one category of a binary dependent variable. Here, the effects of the variables are presented through odds, which are the ratio
H. Nayebi
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Logistic regression in data analysis: an overview

International Journal of Data Analysis Techniques and Strategies, 2011
Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data classification in particular. This paper is focused on providing an overview of the most important aspects of LR when used in data analysis, specifically from an algorithmic and machine learning perspective and how LR can be applied to
Maher Maalouf
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An Introduction to Logistic Regression Analysis and Reporting

Journal of Educational Research, 2002
C. Y. Peng, K. Lee, G. Ingersoll
exaly   +2 more sources

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