DEVELOPMENT... OpenML
Run
168415

Run 168415

Task 3923 (Supervised Classification) datatrieve 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
0.6933
Per class
F measure
0.8597
Per class
Kappa
0.0366
KB relative information score
-16.1691
Mean absolute error
0.1304
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8509
Per class
Predictive accuracy
0.8692
Prior entropy
0.4395
Recall
0.8692
Per class
Relative absolute error
0.8146
Root mean prior squared error
0.2784
Root mean squared error
0.3441
Root relative squared error
1.2359
SciMark benchmark
945.6434
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20