Run
8766065

Run 8766065

Task 14952 (Supervised Classification) PhishingWebsites Uploaded 31-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees97
mlr.classif.ranger(9)_mtry12
mlr.classif.ranger(9)_min.node.size77
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.81725795743987
mlr.classif.ranger(9)_num.threads1
mlr.classif.ranger(9)_verboseFALSE
mlr.classif.ranger(9)_openml.seed1
mlr.classif.ranger(9)_openml.kindMersenne-Twister
mlr.classif.ranger(9)_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
0.9915
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9512
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9011
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9190.7365
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0912
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
0.9512
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9512
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9906
Cross-validation details (10-fold Crossvalidation)
Recall
0.9512
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1847
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4967
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1927
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.388
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1734.1573
UserCPU time millis
5.561
UserCPU time millis testing
0.253
UserCPU time millis training
5.308