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Outline:Logistic Regression using R. About Logistic Regression. Practical applications of Logistic Regression. Implementation of Logistic Regression in R. Install stats4, splines, VGAM libraries. Split the dataset into training and testing datasets. Predict the output classes from test data. Measure the accuracy of the model. Calculates the probability of each iris class for each test data entry. Create a logistic regression model. Drawbacks of Logistic Regression.
Logistic Regression using R. About Logistic Regression. Practical applications of Logistic Regression. Implementation of Logistic Regression in R. Install stats4, splines, VGAM libraries. Split the dataset into training and testing datasets. Predict the output classes from test data. Measure the accuracy of the model. Calculates the probability of each iris class for each test data entry. Create a logistic regression model. Drawbacks of Logistic Regression.
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