Run
160747

Run 160747

Task 37 (Supervised Classification) diabetes Uploaded 14-02-2015 by Manuel Martin Salvador
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
0.8136
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7556
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4562
Cross-validation details (10-fold Crossvalidation)
KB relative information score
278.7802
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2878
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_76, i386, Linux, 3.2.0-4-686-pae]
Precision
0.7544
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7591
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7591
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6331
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.421
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8833
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1123.6668
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)