Run
8331430

Run 8331430

Task 145979 (Supervised Classification) spambase Uploaded 30-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k8
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
0.9635
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9181
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8281
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3534.0958
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1155
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
0.9181
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9183
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9183
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2419
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2531
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5179
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1849.408
UserCPU time millis
2.51
UserCPU time millis testing
2.476
UserCPU time millis training
0.034