DEVELOPMENT... OpenML
Run
168470

Run 168470

Task 23 (Supervised Classification) cmc 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)_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
0.654
Per class
F measure
0.5225
Per class
Kappa
0.2726
KB relative information score
100.6955
Mean absolute error
0.4283
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5372
Per class
Predictive accuracy
0.518
Prior entropy
1.5392
Recall
0.518
Per class
Relative absolute error
0.9941
Root mean prior squared error
0.4641
Root mean squared error
0.4587
Root relative squared error
0.9884
SciMark benchmark
945.6434
UserCPU time millis
80
UserCPU time millis testing
20
UserCPU time millis training
60