Run
8000513

Run 8000513

Task 145979 (Supervised Classification) spambase 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.trees1468
mlr.classif.ranger(9)_mtry44
mlr.classif.ranger(9)_min.node.size2818
mlr.classif.ranger(9)_sample.fraction0.951218018191867
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
0.9115
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8269
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6337
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2023.7704
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.289
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
0.8321
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8305
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8305
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6052
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3445
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.705
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1852.9259
UserCPU time millis
19.685
UserCPU time millis testing
1.096
UserCPU time millis training
18.589