DEVELOPMENT... OpenML
Run
166196

Run 166196

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)_I160
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
0.9981
Per class
F measure
0.9931
Per class
Kappa
0.9618
KB relative information score
1863.2456
Mean absolute error
0.0086
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
0.9932
Per class
Predictive accuracy
0.993
Prior entropy
0.4703
Recall
0.993
Per class
Relative absolute error
0.0476
Root mean prior squared error
0.3
Root mean squared error
0.0804
Root relative squared error
0.2679
SciMark benchmark
934.5243
UserCPU time millis
7510
UserCPU time millis testing
2070
UserCPU time millis training
5440