Run
8605063

Run 8605063

Task 9911 (Supervised Classification) Amazon_employee_access Uploaded 02-12-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees1422
mlr.classif.ranger(15)_mtry1
mlr.classif.ranger(15)_min.node.size1185
mlr.classif.ranger(15)_sample.fraction0.136911448184401
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_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
0.6859
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.914
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-8292.847
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.108
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1091
Cross-validation details (10-fold Crossvalidation)
Number of instances
32769
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8876
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9421
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3191
Cross-validation details (10-fold Crossvalidation)
Recall
0.9421
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.99
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2335
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2317
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9921
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1449.2093
UserCPU time millis
77.38
UserCPU time millis testing
9.9
UserCPU time millis training
67.48