OpenML
2454272

Run 2454272

Task 3899 (Supervised Classification) mozilla4 Uploaded 23-06-2017 by OpenML_Bot R
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Flow

mlr.classif.kknn(9)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(9)_k9
mlr.classif.kknn(9)_openml.seed1
mlr.classif.kknn(9)_openml.kindMersenne-Twister
mlr.classif.kknn(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
0.9411
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8907
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7524
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10364.9541
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1484
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4412
Cross-validation details (10-fold Crossvalidation)
Number of instances
15545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8908
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8906
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9135
Cross-validation details (10-fold Crossvalidation)
Recall
0.8906
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3363
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4697
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2896
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6166
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1253.5199
UserCPU time millis
3.524
UserCPU time millis testing
3.498
UserCPU time millis training
0.026