Run
8761126

Run 8761126

Task 145862 (Supervised Classification) qsar-biodeg Uploaded 31-12-2017 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.trees646
mlr.classif.ranger(9)_mtry30
mlr.classif.ranger(9)_min.node.size18
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.829166456894018
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9269
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8646
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6942
Cross-validation details (10-fold Crossvalidation)
KB relative information score
590.3568
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2043
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
0.8648
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8664
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8664
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4568
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3116
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6589
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.5659
UserCPU time millis
16.855
UserCPU time millis testing
0.335
UserCPU time millis training
16.52