DEVELOPMENT... OpenML
Run
168013

Run 168013

Task 47 (Supervised Classification) tae 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
0.6529
Per class
F measure
0.5265
Per class
Kappa
0.2964
KB relative information score
23.2719
Mean absolute error
0.4071
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5387
Per class
Predictive accuracy
0.5298
Prior entropy
1.5845
Recall
0.5298
Per class
Relative absolute error
0.9162
Root mean prior squared error
0.4713
Root mean squared error
0.4542
Root relative squared error
0.9636
SciMark benchmark
945.6434
UserCPU time millis
10
UserCPU time millis testing
10