Run
8290035

Run 8290035

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)_k2
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
0.938
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9149
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8217
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3722.7647
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0907
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
0.9149
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.915
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.915
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.19
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2761
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5651
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1080.5187
UserCPU time millis
4.217
UserCPU time millis testing
4.156
UserCPU time millis training
0.061