Run
8677643

Run 8677643

Task 14952 (Supervised Classification) PhishingWebsites Uploaded 25-12-2017 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.trees121
mlr.classif.ranger(9)_mtry13
mlr.classif.ranger(9)_min.node.size1
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.195626001176424
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
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9629
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9247
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9541.9483
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0749
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
0.963
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9629
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9906
Cross-validation details (10-fold Crossvalidation)
Recall
0.9629
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1517
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4967
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1686
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3395
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2133.4878
UserCPU time millis
4.155
UserCPU time millis testing
0.252
UserCPU time millis training
3.903