Run
8321339

Run 8321339

Task 145872 (Supervised Classification) steel-plates-fault Uploaded 30-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k5
mlr.classif.kknn(10)_openml.seed1
mlr.classif.kknn(10)_openml.kindMersenne-Twister
mlr.classif.kknn(10)_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
0.9956
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9882
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9739
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1860.0614
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0197
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
0.9882
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9882
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9882
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0434
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1022
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2147
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1876.7581
UserCPU time millis
0.628
UserCPU time millis testing
0.47
UserCPU time millis training
0.158