Run
8289464

Run 8289464

Task 145878 (Supervised Classification) wdbc Uploaded 28-10-2017 by OpenML_Bot R
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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
0.9882
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.949
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8907
Cross-validation details (10-fold Crossvalidation)
KB relative information score
509.0943
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0494
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9489
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.949
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.949
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1056
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1705
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3526
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1849.5386
UserCPU time millis
0.304
UserCPU time millis testing
0.296
UserCPU time millis training
0.008