DEVELOPMENT... OpenML
Run
168421

Run 168421

Task 3535 (Supervised Classification) tr41.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
0.9606
Per class
F measure
0.8697
Per class
Kappa
0.84
KB relative information score
746.8785
Mean absolute error
0.0264
Mean prior absolute error
0.1652
Number of instances
878
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8835
Per class
Predictive accuracy
0.8679
Prior entropy
2.8041
Recall
0.8679
Per class
Relative absolute error
0.16
Root mean prior squared error
0.2872
Root mean squared error
0.1518
Root relative squared error
0.5285
SciMark benchmark
908.0036
UserCPU time millis
311310
UserCPU time millis testing
91300
UserCPU time millis training
220010