OpenML
248777

Run 248777

Task 1917 (Supervised Classification) diabetes Uploaded 04-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.814
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7515
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4474
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2802.3301
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2871
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
7680
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7502
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7548
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7548
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6317
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4218
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8848
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1360.5374
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)