OpenML
8357623

Run 8357623

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.trees79
mlr.classif.ranger(13)_mtry34
mlr.classif.ranger(13)_min.node.size655
mlr.classif.ranger(13)_sample.fraction0.610047825658694
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
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
0.5001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5281
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.1284
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4472
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
0.9998
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1239.2028
UserCPU time millis
0.659
UserCPU time millis testing
0.101
UserCPU time millis training
0.558