Run
514682

Run 514682

Task 9969 (Supervised Classification) thoracic-surgery Uploaded 28-01-2016 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
0.5055
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7845
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0173
Cross-validation details (10-fold Crossvalidation)
KB relative information score
102.751
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1596
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2546
Cross-validation details (10-fold Crossvalidation)
Number of instances
470
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7586
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8404
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6109
Cross-validation details (10-fold Crossvalidation)
Recall
0.8404
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6269
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3995
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.122
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
1.204
UserCPU time millis testing
0.396
UserCPU time millis training
0.808