DEVELOPMENT... OpenML
Run
166712

Run 166712

Task 3532 (Supervised Classification) tr12.wc 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
0.8312
Per class
F measure
0.6324
Per class
Kappa
0.5733
KB relative information score
180.186
Mean absolute error
0.1079
Mean prior absolute error
0.2079
Number of instances
313
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6697
Per class
Predictive accuracy
0.639
Prior entropy
2.7783
Recall
0.639
Per class
Relative absolute error
0.5191
Root mean prior squared error
0.3222
Root mean squared error
0.2741
Root relative squared error
0.8507
SciMark benchmark
940.2922
UserCPU time millis
68820
UserCPU time millis testing
19890
UserCPU time millis training
48930