Run
8290033

Run 8290033

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)_k26
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
0.9681
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9165
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8245
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3305.6708
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1448
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
0.917
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.917
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.917
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.256
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.524
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1722.2536
UserCPU time millis
3.361
UserCPU time millis testing
3.161
UserCPU time millis training
0.2