Run
1867601

Run 1867601

Task 9946 (Supervised Classification) wdbc Uploaded 28-03-2017 by Philipp Probst
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Flow

mlr.classif.ranger(7)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(7)_num.trees1426
mlr.classif.ranger(7)_mtry28
mlr.classif.ranger(7)_sample.fraction0.177894834778272
mlr.classif.ranger(7)_respect.unordered.factorsTRUE
mlr.classif.ranger(7)_num.threads1
mlr.classif.ranger(7)_verboseFALSE
mlr.classif.ranger(7)_openml.seed1
mlr.classif.ranger(7)_openml.kindMersenne-Twister
mlr.classif.ranger(7)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9889
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9491
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8911
Cross-validation details (10-fold Crossvalidation)
KB relative information score
457.3014
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9491
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.949
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.949
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2127
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1983
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4101
Cross-validation details (10-fold Crossvalidation)