Now I dont know, How select tow variables that show best separation between class in plot. Now I want plot and illustrate for example a 2-D plot for every methods. Maybe re-use with referencing your website, like CC-BY Cheers Tobias. The final values used for the model were fL 0 and usekernel FALSE.Ĭlarification would be nice, because you provide copypaste capabilities. So my question is which result should be used as the capability of the model. In my real data this difference is larger 0.931 vs. In contrast, when I look at the result of the confusionMatris() function, accuracy is 0.96 (see below). When I run your code of Repeated k-fold Cross Validation, and look at the content of the model variable, I get the following result with accuracy indicated as 0.9533333. The final model accuracy is taken as the mean from the number of repeats. ![]() ![]() This process is completed until accuracy is determine for each instance in the dataset, and an overall accuracy estimate is provided. Typically, large number of resampling iterations are performed (thousands or tends of thousands).įor each subset is held out while the model is trained on all other subsets. In aggregate, the results provide an indication of the variance of the models performance.
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