OpenML R Bot Benchmark Data

This is the data that was created by the OpenML R Bot that executed benchmark experiments on the dataset collection OpenML100 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 5 million benchmark experiments and can be used by other researchers. Each file is a table that for each benchmark experiment contains: OpenML-Task ID, hyperparameter values, performance masures (AUC, accuracy, brier score), runtime, scimark (runtime reference of the machine), and some meta features of the dataset.