Run
2431333

Run 2431333

Task 37 (Supervised Classification) diabetes Uploaded 22-06-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • AzureBot1 botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(11)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(11)_alpha0.0766829901840538
mlr.classif.glmnet(11)_s0.01
mlr.classif.glmnet(11)_lambda0.148548349174984
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
0.8283
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7458
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4273
Cross-validation details (10-fold Crossvalidation)
KB relative information score
165.0854
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3685
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.766
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7643
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7643
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8108
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4111
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8624
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1248.3279
UserCPU time millis
0.123
UserCPU time millis testing
0.067
UserCPU time millis training
0.056