Run
510788

Run 510788

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 27-01-2016 by Rafael Gomes Mantovani
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Flow

classif.glmnet(1)Learner classif.glmnet from package(s) !glmnet.
classif.glmnet(1)_s0.01
classif.glmnet(1)_seed1
classif.glmnet(1)_kindMersenne-Twister
classif.glmnet(1)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.5771
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8312
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2175
Cross-validation details (10-fold Crossvalidation)
KB relative information score
170.9671
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.136
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8347
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.864
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.864
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5523
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3687
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0529
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
2.223
UserCPU time millis testing
0.329
UserCPU time millis training
1.894