Run
7828653

Run 7828653

Task 31 (Supervised Classification) credit-g Uploaded 10-09-2017 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)_alpha0.765755141852424
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.0542712169465576
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
0.7515
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6336
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1098
Cross-validation details (10-fold Crossvalidation)
KB relative information score
98.9914
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.376
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.717
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.718
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.718
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.895
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4245
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9264
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1345.2461
UserCPU time millis
0.481
UserCPU time millis testing
0.14
UserCPU time millis training
0.341