Machine Learning with R by Brett Lantz
Author:Brett Lantz
Language: eng
Format: epub, pdf
Publisher: Packt Publishing
The correlation also seems to be substantially higher:
> cor(p.cubist, wine_test$quality) [1] 0.6201015
Furthermore, the model slightly reduced the mean absolute error:
> MAE(wine_test$quality, p.cubist) [1] 0.5339725
Although we did not improve a great deal beyond the regression tree, we surpassed the performance of the neural network model published by Cortez, and we are getting closer to the published mean absolute error value of 0.45 for the support vector machine model, all while using a much simpler learning method.
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Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
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