Run
2170696

Run 2170696

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)_alpha0.763153766514733
mlr.classif.glmnet(5)_s0.01
mlr.classif.glmnet(5)_lambda0.080730586359914
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
0.7255
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6585
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0027
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12.7038
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3468
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
0.5805
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7607
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7607
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9552
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4109
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.965
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1968.4885
UserCPU time millis
0.101
UserCPU time millis testing
0.044
UserCPU time millis training
0.057