Run
8324438

Run 8324438

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)_k15
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
0.9971
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9846
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9659
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1799.709
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.037
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
0.9846
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9845
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
0.9845
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0817
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2428
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1845.6608
UserCPU time millis
0.529
UserCPU time millis testing
0.509
UserCPU time millis training
0.02