Run
8290325

Run 8290325

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)_k17
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
0.9201
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8322
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3397.7438
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1333
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
0.9203
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9205
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9205
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2792
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2526
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5169
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1148.5745
UserCPU time millis
4.934
UserCPU time millis testing
4.872
UserCPU time millis training
0.062