OpenML
8358302

Run 8358302

Task 145862 (Supervised Classification) qsar-biodeg Uploaded 31-10-2017 by OpenML_Bot R
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  • AzureBot1 botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees115
mlr.classif.ranger(13)_mtry11
mlr.classif.ranger(13)_min.node.size2432
mlr.classif.ranger(13)_sample.fraction0.255126617429778
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.4977
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5281
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0725
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4469
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
0.439
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6626
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.6626
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9992
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4729
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0001
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1228.7311
UserCPU time millis
1.274
UserCPU time millis testing
0.235
UserCPU time millis training
1.039