Run
7982800

Run 7982800

Task 145979 (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.trees127
mlr.classif.ranger(9)_mtry1
mlr.classif.ranger(9)_min.node.size9
mlr.classif.ranger(9)_sample.fraction0.995878731366247
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
0.98
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9273
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8466
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2671.1857
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2275
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
0.9297
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9281
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9281
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4764
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2762
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5653
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1738.3274
UserCPU time millis
2.542
UserCPU time millis testing
0.205
UserCPU time millis training
2.337