Run
8351959

Run 8351959

Task 43 (Supervised Classification) spambase Uploaded 31-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot1 botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(13)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(13)_num.trees1757
mlr.classif.ranger(13)_mtry31
mlr.classif.ranger(13)_min.node.size1339
mlr.classif.ranger(13)_replaceFALSE
mlr.classif.ranger(13)_sample.fraction0.595376208354719
mlr.classif.ranger(13)_respect.unordered.factorsTRUE
mlr.classif.ranger(13)_num.threads1
mlr.classif.ranger(13)_verboseFALSE
mlr.classif.ranger(13)_openml.seed1
mlr.classif.ranger(13)_openml.kindMersenne-Twister
mlr.classif.ranger(13)_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
0.9413
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8815
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7532
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2360.0329
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2543
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.883
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8809
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8809
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5324
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3188
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6524
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1240.8933
UserCPU time millis
152.637
UserCPU time millis testing
6.467
UserCPU time millis training
146.17