Run
8029464

Run 8029464

Task 43 (Supervised Classification) spambase Uploaded 17-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(9)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(9)_num.trees336
mlr.classif.ranger(9)_mtry28
mlr.classif.ranger(9)_min.node.size739
mlr.classif.ranger(9)_replaceFALSE
mlr.classif.ranger(9)_sample.fraction0.39647902874276
mlr.classif.ranger(9)_respect.unordered.factorsTRUE
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
0.9476
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8877
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7663
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2484.5306
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2397
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
0.8893
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8872
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.8872
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.502
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3107
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6358
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1853.454
UserCPU time millis
6.474
UserCPU time millis testing
0.241
UserCPU time millis training
6.233