Run
247604

Run 247604

Task 1801 (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.NaiveBayes(10)George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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
0.8072
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7486
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.4414
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
1365.2555
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.2907
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
3840
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7472
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7516
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7516
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.6397
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4269
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.8957
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
889.3151
UserCPU time millis
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (5 times 2-fold Crossvalidation)