Run
8535459

Run 8535459

Task 145862 (Supervised Classification) qsar-biodeg Uploaded 17-11-2017 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.trees104
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size4
mlr.classif.ranger(9)_sample.fraction0.900107274833135
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
0.932
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8619
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6883
Cross-validation details (10-fold Crossvalidation)
KB relative information score
571.0663
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2161
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
0.8619
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8635
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8635
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4831
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3097
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.655
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1850.1514
UserCPU time millis
1.096
UserCPU time millis testing
0.099
UserCPU time millis training
0.997