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Logistic Regression with R: Categorical Response Variable at Two Levels (2018)

Logistic Regression with R: Categorical Response Variable at Two Levels (2018)У вашего броузера проблема в совместимости с HTML5
Provides an example of student college application for carrying out logistic regression analysis with R. Data: https://goo.gl/VEBvwa R File: https://goo.gl/PdRktk Machine Learning videos: https://goo.gl/WHHqWP Github: https://github.com/bkrai/Top-10-Machine-Learning-Methods-With-R Includes, - use of a categorical binary output variable - data partition - logistic regression model - prediction - equation for prediction - misclassification errors for training and test data - confusion matrix for training and test data - goodness-of-fit test R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
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