Run
8498404

Run 8498404

Task 146065 (Supervised Classification) monks-problems-2 Uploaded 07-11-2017 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)_k16
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
0.8092
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7452
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4261
Cross-validation details (10-fold Crossvalidation)
KB relative information score
145.3282
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3436
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4507
Cross-validation details (10-fold Crossvalidation)
Number of instances
601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.744
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7504
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9279
Cross-validation details (10-fold Crossvalidation)
Recall
0.7504
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7624
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4112
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8664
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1850.7572
UserCPU time millis
0.094
UserCPU time millis testing
0.093
UserCPU time millis training
0.001