DEVELOPMENT... OpenML
Run
168951

Run 168951

Task 3922 (Supervised Classification) desharnais Uploaded 20-02-2015 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)_I10
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
0.7001
Per class
F measure
0.6697
Per class
Kappa
0.4096
KB relative information score
28.8644
Mean absolute error
0.2547
Mean prior absolute error
0.3804
Number of instances
81
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6862
Per class
Predictive accuracy
0.679
Prior entropy
1.3765
Recall
0.679
Per class
Relative absolute error
0.6697
Root mean prior squared error
0.4348
Root mean squared error
0.4358
Root relative squared error
1.0023
SciMark benchmark
931.2336
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20