DEVELOPMENT... OpenML
Run
167104

Run 167104

Task 3921 (Supervised Classification) jEdit_4.0_4.2 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
0.7265
Per class
F measure
0.7021
Per class
Kappa
0.4065
KB relative information score
65.6218
Mean absolute error
0.3927
Mean prior absolute error
0.4998
Number of instances
274
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7083
Per class
Predictive accuracy
0.7044
Prior entropy
0.9997
Recall
0.7044
Per class
Relative absolute error
0.7858
Root mean prior squared error
0.4999
Root mean squared error
0.466
Root relative squared error
0.9323
SciMark benchmark
938.2848
UserCPU time millis
10
UserCPU time millis training
10