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There are various machine learning algorithms and choosing the best algorithms requires some knowledge. Here are the things you should remember before using the Random Forest Algorithm. 1. Random Forest works very well on both the categorical Random Forest Classifier as well as continuous Variables Random Forest Regressor. 2.
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The Level-0 stage that we realized is composed of a total of ten classifiers, five set of two kind of classifiers working in couple Support . Vector Machines 10 and . Normal . Bayes. Classifier 11. 10 J. Shawe-Taylor, N. Cristianini, Support Vector Machines and other kernel-based learning methods- Cambridge University Press, 2000.
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Machine Learning with R. Packt Publishing Ltd. James et al., 2014. An introduction to statistical learning with applications in R. Springer. Tobias Sing, Oliver Sander, Niko Beerenwinkel, Thomas Lengauer. ROCR visualizing classifier performance in R. Bioinformatics 21203940-3941 2005.
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classification techniques single classifiers, hybrid classifiers, and classifier ensembles. 16. Methods for predicting financial distress form a progression from traditional statistical and semiparametric models, to individual machine-learning algorithms such as artificial neural networks,
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