DEVELOPMENT... OpenML
Run
168129

Run 168129

Task 2272 (Supervised Classification) meta_all.arff 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
0.6088
Per class
F measure
0.559
Per class
Kappa
0.2666
KB relative information score
19.4853
Mean absolute error
0.1551
Mean prior absolute error
0.2065
Number of instances
71
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5577
Per class
Predictive accuracy
0.5634
Prior entropy
1.9094
Recall
0.5634
Per class
Relative absolute error
0.7508
Root mean prior squared error
0.317
Root mean squared error
0.3653
Root relative squared error
1.1525
SciMark benchmark
945.7621
UserCPU time millis
210
UserCPU time millis testing
70
UserCPU time millis training
140