DEVELOPMENT... OpenML
Run
167029

Run 167029

Task 3841 (Supervised Classification) mfeat-factors Uploaded 18-02-2015 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)_I80
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
0.9982
Per class
F measure
0.994
Per class
Kappa
0.9671
KB relative information score
1877.7457
Mean absolute error
0.0076
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9941
Per class
Predictive accuracy
0.994
Prior entropy
0.4703
Recall
0.994
Per class
Relative absolute error
0.0422
Root mean prior squared error
0.3
Root mean squared error
0.0741
Root relative squared error
0.2468
SciMark benchmark
945.6434
UserCPU time millis
7600
UserCPU time millis testing
2120
UserCPU time millis training
5480