DEVELOPMENT... OpenML
Run
168874

Run 168874

Task 3841 (Supervised Classification) mfeat-factors Uploaded 20-02-2015 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
0.9907
Per class
F measure
0.9849
Per class
Kappa
0.9181
KB relative information score
1759.2158
Mean absolute error
0.0159
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
0.9859
Per class
Predictive accuracy
0.9845
Prior entropy
0.4703
Recall
0.9845
Per class
Relative absolute error
0.0883
Root mean prior squared error
0.3
Root mean squared error
0.1229
Root relative squared error
0.4096
SciMark benchmark
927.0753
UserCPU time millis
5910
UserCPU time millis testing
1880
UserCPU time millis training
4030