Run
8551286

Run 8551286

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 21-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1189
mlr.classif.ranger(15)_mtry7
mlr.classif.ranger(15)_min.node.size1
mlr.classif.ranger(15)_sample.fraction0.313059827848338
mlr.classif.ranger(15)_respect.unordered.factorsTRUE
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.9997
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9928
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9841
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1583.1187
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1048
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9928
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9928
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9928
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2313
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1445
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3037
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1263.122
UserCPU time millis
13.16
UserCPU time millis testing
0.71
UserCPU time millis training
12.45