Run
510690

Run 510690

Task 3578 (Supervised Classification) diggle_table_a2 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
0.9377
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.89
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8757
Cross-validation details (10-fold Crossvalidation)
KB relative information score
274.342
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0244
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1961
Cross-validation details (10-fold Crossvalidation)
Number of instances
310
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8903
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.1238
Cross-validation details (10-fold Crossvalidation)
Recall
0.8903
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1243
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3131
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1561
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4986
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
13.525
UserCPU time millis testing
1.017
UserCPU time millis training
12.508