Run
8289850

Run 8289850

Task 145979 (Supervised Classification) spambase 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)_k29
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
0.968
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9156
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8225
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3279.8183
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1479
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9162
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9161
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9161
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3096
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2574
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5268
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1073.5108
UserCPU time millis
5.166
UserCPU time millis testing
5.105
UserCPU time millis training
0.061