DEVELOPMENT... OpenML
Run
168016

Run 168016

Task 50 (Supervised Classification) heart-h Uploaded 19-02-2015 by Felicia West
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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)_I20
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
0.8738
Per class
F measure
0.8396
Per class
Kappa
0.6511
KB relative information score
171.0557
Mean absolute error
0.0687
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8393
Per class
Predictive accuracy
0.8401
Prior entropy
1.0314
Recall
0.8401
Per class
Relative absolute error
0.3682
Root mean prior squared error
0.3037
Root mean squared error
0.2389
Root relative squared error
0.7866
SciMark benchmark
942.6953
UserCPU time millis
120
UserCPU time millis testing
40
UserCPU time millis training
80