DEVELOPMENT... OpenML
Run
168921

Run 168921

Task 3890 (Supervised Classification) ada_prior Uploaded 20-02-2015 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)_I10
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
0.8376
Per class
F measure
0.819
Per class
Kappa
0.495
KB relative information score
2221.5866
Mean absolute error
0.1714
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8193
Per class
Predictive accuracy
0.8288
Prior entropy
0.8085
Recall
0.8288
Per class
Relative absolute error
0.4594
Root mean prior squared error
0.4319
Root mean squared error
0.4063
Root relative squared error
0.9406
SciMark benchmark
927.0753
UserCPU time millis
420
UserCPU time millis testing
130
UserCPU time millis training
290

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