Run
1990229

Run 1990229

Task 14952 (Supervised Classification) PhishingWebsites Uploaded 06-04-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
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
0.993
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9639
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9268
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9874.8609
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0562
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4935
Cross-validation details (10-fold Crossvalidation)
Number of instances
11055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9639
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9639
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9906
Cross-validation details (10-fold Crossvalidation)
Recall
0.9639
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1139
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4967
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1648
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1857.0384
UserCPU time millis
12.426
UserCPU time millis testing
12.395
UserCPU time millis training
0.031