R random-forest Projects
Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuningProject mention: [P] Which Machine Learning Classifiers are best for small datasets? An empirical study | reddit.com/r/MachineLearning | 2021-01-04
I've actually made the same kind of graph before. In this image: each point is the average of 5 out-of-fold predictions for one trial of k-fold cross-validation. I repeated the procedure 40 times to visualize the out-of-fold accuracy on the Wisconsin diagnostic breast cancer data set (560 observations on 30 numeric variables). I evaluated 14 models for classification:
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