OpenML
8452235

Run 8452235

Task 3 (Supervised Classification) kr-vs-kp Uploaded 03-11-2017 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)_k15
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
0.9875
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9493
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8984
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2373.4578
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1447
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9493
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9493
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9493
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.29
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.225
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4505
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1282.2279
UserCPU time millis
2.196
UserCPU time millis testing
2.015
UserCPU time millis training
0.181