DEVELOPMENT... OpenML
Run
167919

Run 167919

Task 3892 (Supervised Classification) hiva_agnostic 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)_I40
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
0.7412
Per class
F measure
0.9307
Per class
Kappa
0.2335
KB relative information score
-5941.6977
Mean absolute error
0.0905
Mean prior absolute error
0.0682
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9512
Per class
Predictive accuracy
0.9149
Prior entropy
0.221
Recall
0.9149
Per class
Relative absolute error
1.3266
Root mean prior squared error
0.1844
Root mean squared error
0.2743
Root relative squared error
1.4876
SciMark benchmark
945.6434
UserCPU time millis
557550
UserCPU time millis testing
177220
UserCPU time millis training
380330

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