Run
8091338

Run 8091338

Task 14952 (Supervised Classification) PhishingWebsites Uploaded 18-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees12
mlr.classif.ranger(9)_mtry23
mlr.classif.ranger(9)_min.node.size71
mlr.classif.ranger(9)_sample.fraction0.283440984110348
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
0.9862
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9394
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8771
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8969.9879
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1003
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
0.9394
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9394
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9906
Cross-validation details (10-fold Crossvalidation)
Recall
0.9394
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2032
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4967
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2131
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4289
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1830.7134
UserCPU time millis
0.651
UserCPU time millis testing
0.061
UserCPU time millis training
0.59