OpenML R Bot Benchmark Data (final subset)

This is a clean subset of the data that was created by the OpenML R Bot that executed benchmark experiments on binary classification task of the OpenML100 benchmarking suite with six R algorithms: glmnet, rpart, kknn, svm, ranger and xgboost. The hyperparameters of these algorithms were drawn randomly. In total it contains more than 2.6 million benchmark experiments and can be used by other researchers. <br><br>The subset was created by taking 500000 results of each learner (except of kknn for which only 1140 results are available). <br><br>The csv-file for each learner is a table that for each benchmark experiment has a row that contains: OpenML-Data ID, hyperparameter values, performance measures (AUC, accuracy, brier score), runtime, scimark (runtime reference of the machine), and some meta features of the dataset.<br><br>OpenMLRandomBotResults.RData (format for R) contains all data in seperate tables for the results, the hyperparameters, the meta features, the runtime, the scimark results and reference results.<br>