DEVELOPMENT... OpenML
Run
167227

Run 167227

Task 37 (Supervised Classification) diabetes Uploaded 18-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I40
weka.MultiBoostAB_NaiveBayes(2)_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
0.8022
Per class
F measure
0.7601
Per class
Kappa
0.4651
KB relative information score
276.8855
Mean absolute error
0.2926
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7592
Per class
Predictive accuracy
0.7643
Prior entropy
0.9335
Recall
0.7643
Per class
Relative absolute error
0.6438
Root mean prior squared error
0.4766
Root mean squared error
0.4181
Root relative squared error
0.8772
SciMark benchmark
945.6434
UserCPU time millis
160
UserCPU time millis testing
40
UserCPU time millis training
120