/pml-project

Practical Machine Learning Project

Primary LanguageHTML

Practical Machine Learning Project

Contents

  • README.md
  • index.Rmd - R Markdown script that does the following: downloads the data directly from website; cleans data by removing missing values and unnecessary variables; creates a training and testing set to run prediction algorithms; compares prediction algorithms and selects best model based on accuracy rate; predicts classes from smaller out-of-sample test set.
  • index.html - compiled HTML file.
  • figure - folder that contains 4 figures: baseline-model-1.png illustrates the decision tree algorithm. plot-accuracy-rf-1.png and plot-error-rf-1.png show the cross-validation accuracy rate and the cross-validation error rate, respectively. varimp-rf-1.png lists the top 10 most important predictors (variable importance) given by the random forest model.
  • data - folder with the csv files used in the analysis.

Getting Started