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MLHub Rain Tomorrow

20200901 Decision trees and the ensemble of decision trees within a random forest are two common approaches to building classification models in AI. The concept of an ensemble of decision trees was introduced in 1988 in the paper Combining Decision Trees: Initial results from the MIL algorithm where the improved performance from multiple trees is demonstrated. The rattle package in R provides the weatherAUS dataset which is used to predict if it will rain tomorrow (or any other target variable of choice). This is the dataset used to build the model that is demonstrated in the MLHub package rain.

We install, configure and demonstrate the rain model, a decision tree model for predicting whether it will rain tomorrow:

$ ml install rain
$ ml configure rain
$ ml demo rain