Case Study: Random Forest Example

This sample model is provided with all new Expert Models accounts.

Summary

Use Random Forests to make predictions on the class of the flowers in the Iris flower dataset. This model makes use of the scikit package to make predictions using Random Forests. The dataset is split into training and test datasets by randomly choosing values from the main dataset. So each time the training and test datasets are created, the prediction changes. This process can be repeated to make sure there is sufficient coverage and the coefficients are chosen with reasonable level of accuracy.

Original source / documentation of model

Scikit Learn documentation

Output Type

Table of Accuracy %

Libraries Used

  •  Scikit Learn
  • Pandas
  • Numpy

Equations Used

Random Forest Classifier

Dataset Used

https://archive.ics.uci.edu/ml/datasets/Iris