Run
2170846

Run 2170846

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 16-05-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.glmnet(5)Learner mlr.classif.glmnet from package(s) glmnet.
mlr.classif.glmnet(5)_alpha0.00916602020151913
mlr.classif.glmnet(5)_s0.01
mlr.classif.glmnet(5)_lambda6.91891135654467
mlr.classif.glmnet(5)_openml.seed1
mlr.classif.glmnet(5)_openml.kindMersenne-Twister
mlr.classif.glmnet(5)_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
0.7098
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6591
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.5005
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3621
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5807
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.762
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.762
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9974
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4252
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9984
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1877.2162
UserCPU time millis
0.091
UserCPU time millis testing
0.04
UserCPU time millis training
0.051