DEVELOPMENT... OpenML
Run
167101

Run 167101

Task 3917 (Supervised Classification) kc1 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)_I80
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
0.7364
Per class
F measure
0.8188
Per class
Kappa
0.2895
KB relative information score
357.0016
Mean absolute error
0.1754
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8147
Per class
Predictive accuracy
0.8236
Prior entropy
0.622
Recall
0.8236
Per class
Relative absolute error
0.6704
Root mean prior squared error
0.3615
Root mean squared error
0.4131
Root relative squared error
1.1427
SciMark benchmark
942.3168
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70