OpenML
8652086

Run 8652086

Task 14966 (Supervised Classification) Bioresponse Uploaded 14-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees541
mlr.classif.ranger(16)_mtry13
mlr.classif.ranger(16)_min.node.size11
mlr.classif.ranger(16)_sample.fraction0.406516971345991
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.8618
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7853
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5669
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1135.5279
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3661
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7854
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7857
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7857
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7375
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.403
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8089
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
876.992
UserCPU time millis
100.037
UserCPU time millis testing
4.542
UserCPU time millis training
95.495