DEVELOPMENT... OpenML
Run
168195

Run 168195

Task 3532 (Supervised Classification) tr12.wc 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
0.8253
Per class
F measure
0.6242
Per class
Kappa
0.5621
KB relative information score
184.1134
Mean absolute error
0.1018
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
0.6582
Per class
Predictive accuracy
0.6294
Prior entropy
2.7783
Recall
0.6294
Per class
Relative absolute error
0.4897
Root mean prior squared error
0.3222
Root mean squared error
0.2808
Root relative squared error
0.8716
SciMark benchmark
926.6717
UserCPU time millis
74640
UserCPU time millis testing
22180
UserCPU time millis training
52460