Run
8740371

Run 8740371

Task 14952 (Supervised Classification) PhishingWebsites Uploaded 29-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees375
mlr.classif.ranger(9)_mtry9
mlr.classif.ranger(9)_min.node.size21
mlr.classif.ranger(9)_sample.fraction0.221794416033663
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
0.9908
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9503
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8991
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8937.254
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.105
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
0.9504
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9503
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9906
Cross-validation details (10-fold Crossvalidation)
Recall
0.9503
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2128
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4967
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1993
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4012
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2016.6986
UserCPU time millis
8.94
UserCPU time millis testing
0.765
UserCPU time millis training
8.175