October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How to do it...
Perform the following steps to predict labels based on the trained neural network:
- Generate the predictions of the testing dataset based on the model, iris.nn:
> iris.predict = predict(iris.nn, testset, type="class")
- Generate a classification table based on the predicted labels and labels of the testing dataset:
> nn.table = table(testset$Species, iris.predict)iris.predict setosa versicolor virginicasetosa 17 0 0 versicolor 0 14 0 virginica 0 1 14
- Lastly, generate a confusion matrix based on the classification table:
> confusionMatrix(nn.table)Output:Confusion Matrix and Statisticsiris.predictsetosa versicolor virginicasetosa 17 0 0 versicolor 0 14 0 virginica 0 1 14Overall StatisticsAccuracy : 0.9782609 95% CI : (0.8847282, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.