OpenML
2147277

Run 2147277

Task 37 (Supervised Classification) diabetes Uploaded 12-05-2017 by Philippe ROUSSILLE
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • gateau_au_chocolat modelage_test poc set1 train
Issue #Downvotes for this reason By


Flow

multilayerperceptron(1)A flow using multilayerperceptron for the POC.

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.

17 Evaluation measures

Area under ROC curve
0.8007 ± 0.0518
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7512 ± 0.063
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4474 ± 0.1433
Cross-validation details (10-fold Crossvalidation)
KB relative information score
269.6468 ± 6.3407
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2929 ± 0.0325
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7498 ± 0.0655
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7539 ± 0.0598
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7539 ± 0.0598
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6445 ± 0.0715
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4262 ± 0.0332
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8941 ± 0.0699
Cross-validation details (10-fold Crossvalidation)