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by Graham Williams
Duck Duck Go



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Predict Rain Tomorrow

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 my paper Combining Decision Trees: Initial results from the MIL algorithm where I demonstrated improved performance from multiple trees. My rattle package in R provides the weatherAUS dataset which can be used to predict rain tomorrow. This is the model that is demonstrated in these MLHub packages.

These MLHub packages also demonstrate how to deliver multiple MLHub models from a single git repository.

$ ml install rain_dt

$ ml configure rain_dt

$ ml demo rain_dt


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Brought to you by Togaware and the author of open source software including Rattle and wajig.
Also the author of Data Mining with Rattle and Essentials of Data Science.