Run
8009770

Run 8009770

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 17-10-2017 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.trees48
mlr.classif.ranger(9)_mtry181
mlr.classif.ranger(9)_min.node.size14379
mlr.classif.ranger(9)_sample.fraction0.145891660405323
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
0.4996
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9087
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-386.9084
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1159
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9385
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9385
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0028
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1844.7474
UserCPU time millis
2.511
UserCPU time millis testing
0.369
UserCPU time millis training
2.142