DEVELOPMENT... OpenML
Run
167239

Run 167239

Task 52 (Supervised Classification) heart-statlog Uploaded 18-02-2015 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)_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
0.8514
Per class
F measure
0.8109
Per class
Kappa
0.6165
KB relative information score
152.097
Mean absolute error
0.2219
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8108
Per class
Predictive accuracy
0.8111
Prior entropy
0.9912
Recall
0.8111
Per class
Relative absolute error
0.4492
Root mean prior squared error
0.4969
Root mean squared error
0.3963
Root relative squared error
0.7975
SciMark benchmark
945.6434
UserCPU time millis
30
UserCPU time millis training
30