Summary
Chapters
Video Info
Supplementary material
Dr. Chirag Shah, PhD, clearly explains how to use R to build a random forest classification model using the "randomForest()" function.
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Chapter 1: Preliminaries: Load and Review Data Set
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Chapter 2: Randomly Split the Data into Training Set and Testing Set
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Chapter 3: Use the "randomForest()" Function in R's "randomForest" Package to Build the Model
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Chapter 4: Use the "predict()" Function to Test the Model
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Chapter 5: Determine the Accuracy of the Model
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Chapter 6: Summary
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Resources
Resources
Click here to download the dataset for this video.