Run
6336180

Run 6336180

Task 145979 (Supervised Classification) spambase Uploaded 28-08-2017 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)_alpha0.257275129901245
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.513268355760773
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
0.866
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4731
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.017
Cross-validation details (10-fold Crossvalidation)
KB relative information score
226.2862
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4609
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
0.642
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6103
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.6103
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9651
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4723
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9665
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1236.5444
UserCPU time millis
0.662
UserCPU time millis testing
0.117
UserCPU time millis training
0.545