Run
581024

Run 581024

Task 37 (Supervised Classification) diabetes Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_NaiveBayes(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(3)_C3
weka.MultiBoostAB_NaiveBayes(3)_P100
weka.MultiBoostAB_NaiveBayes(3)_S1
weka.MultiBoostAB_NaiveBayes(3)_I10
weka.MultiBoostAB_NaiveBayes(3)_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
0.8072
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7544
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4537
Cross-validation details (10-fold Crossvalidation)
KB relative information score
339.7804
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2442
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_101, amd64, Linux, 3.13.0-86-generic]
Precision
0.7532
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7578
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7578
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5372
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4723
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9908
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1893.9971
UserCPU time millis
80
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)