OpenML
7975992

Run 7975992

Task 14952 (Supervised Classification) PhishingWebsites Uploaded 17-10-2017 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.trees588
mlr.classif.ranger(9)_mtry4
mlr.classif.ranger(9)_min.node.size12
mlr.classif.ranger(9)_sample.fraction0.346238038176671
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
0.993
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9549
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9084
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8642.889
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1229
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
0.9552
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.955
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9906
Cross-validation details (10-fold Crossvalidation)
Recall
0.955
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2491
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4967
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.199
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4006
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1841.8022
UserCPU time millis
23.389
UserCPU time millis testing
2.93
UserCPU time millis training
20.459