Multinomial Logistic Regression with R | 3. Confusion Matrix & Misclassification Error

Provides steps for applying multinomial logistic regression model with R. Goes over developing confusion matrix and arriving at misclassification errors.
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TIMESTAMP
00:00 Introduction
00:27 Confusion matrix - training data, interpretation
03:47 Misclassification error - training data
04:44 Confusion matrix - test data, interpretation
05:55 Misclassification error - test data

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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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