Run
512019

Run 512019

Task 52 (Supervised Classification) heart-statlog Uploaded 28-01-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8367
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6689
Cross-validation details (10-fold Crossvalidation)
KB relative information score
180.4
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.163
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4939
Cross-validation details (10-fold Crossvalidation)
Number of instances
270
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8368
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.837
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9912
Cross-validation details (10-fold Crossvalidation)
Recall
0.837
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.33
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4969
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4037
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8124
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
0.418
UserCPU time millis testing
0.203
UserCPU time millis training
0.215