DEVELOPMENT... OpenML
Run
167736

Run 167736

Task 3767 (Supervised Classification) fri_c0_1000_50 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)_I40
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
0.931
Per class
F measure
0.855
Per class
Kappa
0.7099
KB relative information score
713.6672
Mean absolute error
0.143
Mean prior absolute error
0.4998
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8551
Per class
Predictive accuracy
0.855
Prior entropy
0.9997
Recall
0.855
Per class
Relative absolute error
0.286
Root mean prior squared error
0.4999
Root mean squared error
0.3603
Root relative squared error
0.7208
SciMark benchmark
941.7954
UserCPU time millis
2770
UserCPU time millis testing
800
UserCPU time millis training
1970