DEVELOPMENT... OpenML
Run
166981

Run 166981

Task 3798 (Supervised Classification) fri_c1_250_10 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
0.7633
Per class
F measure
0.6897
Per class
Kappa
0.3682
KB relative information score
72.6134
Mean absolute error
0.359
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6902
Per class
Predictive accuracy
0.692
Prior entropy
0.9898
Recall
0.692
Per class
Relative absolute error
0.7284
Root mean prior squared error
0.4964
Root mean squared error
0.4528
Root relative squared error
0.9123
SciMark benchmark
923.7642
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20