Run
8088629

Run 8088629

Task 145979 (Supervised Classification) spambase Uploaded 18-10-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV10
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees1165
mlr.classif.ranger(9)_mtry5
mlr.classif.ranger(9)_min.node.size22
mlr.classif.ranger(9)_sample.fraction0.307370216492563
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
0.9821
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9407
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8754
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3291.0484
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1544
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
0.9409
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9409
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9409
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3232
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2297
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4701
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1857.0384
UserCPU time millis
19.705
UserCPU time millis testing
1.873
UserCPU time millis training
17.832