DEVELOPMENT... OpenML
Run
168389

Run 168389

Task 3898 (Supervised Classification) kc1-top5 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
0.7687
Per class
F measure
0.9262
Per class
Kappa
0.3128
KB relative information score
-7.221
Mean absolute error
0.0753
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9285
Per class
Predictive accuracy
0.9241
Prior entropy
0.3323
Recall
0.9241
Per class
Relative absolute error
0.6869
Root mean prior squared error
0.2284
Root mean squared error
0.2674
Root relative squared error
1.1709
SciMark benchmark
938.2848
UserCPU time millis
400
UserCPU time millis testing
130
UserCPU time millis training
270