Run
8855951

Run 8855951

Task 145862 (Supervised Classification) qsar-biodeg Uploaded 29-01-2018 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1780
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size9
mlr.classif.ranger(9)_sample.fraction0.275502457842231
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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.

21 Evaluation measures

Area under ROC curve
0.9157
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.84
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6339
Cross-validation details (10-fold Crossvalidation)
KB relative information score
351.5092
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.317
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4472
Cross-validation details (10-fold Crossvalidation)
Number of instances
1055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8485
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8464
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8464
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7088
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3621
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7657
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1754.9596
UserCPU time millis
4.502
UserCPU time millis testing
0.565
UserCPU time millis training
3.937