Run
7636371

Run 7636371

Task 145979 (Supervised Classification) spambase Uploaded 08-09-2017 by OpenML_Bot R
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Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.320744577795267
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.00928478841515529
mlr.classif.glmnet(11)_openml.seed1
mlr.classif.glmnet(11)_openml.kindMersenne-Twister
mlr.classif.glmnet(11)_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
0.9656
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9123
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8153
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3101.571
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1707
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
0.9137
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9131
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9131
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3574
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2668
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.546
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1285.4695
UserCPU time millis
0.952
UserCPU time millis testing
0.068
UserCPU time millis training
0.884