Run
8024863

Run 8024863

Task 145833 (Supervised Classification) bank-marketing 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.trees1705
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size171
mlr.classif.ranger(9)_sample.fraction0.4809543578187
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
0.8961
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8285
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0022
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1855.7202
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1783
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2066
Cross-validation details (10-fold Crossvalidation)
Number of instances
45211
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8708
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8831
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5207
Cross-validation details (10-fold Crossvalidation)
Recall
0.8831
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.863
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3214
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2857
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8888
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1843.0289
UserCPU time millis
186.858
UserCPU time millis testing
19.975
UserCPU time millis training
166.883