Run
8646898

Run 8646898

Task 145862 (Supervised Classification) qsar-biodeg Uploaded 12-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1786
mlr.classif.ranger(15)_mtry40
mlr.classif.ranger(15)_min.node.size269
mlr.classif.ranger(15)_replaceFALSE
mlr.classif.ranger(15)_sample.fraction0.693986226781271
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.8486
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7638
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4762
Cross-validation details (10-fold Crossvalidation)
KB relative information score
325.6671
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3133
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
0.7663
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7621
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.7621
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7005
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.388
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8205
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1388.3457
UserCPU time millis
13.35
UserCPU time millis testing
0.39
UserCPU time millis training
12.96