DEVELOPMENT... OpenML
Run
168254

Run 168254

Task 3629 (Supervised Classification) fri_c0_250_10 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)_I20
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
0.9339
Per class
F measure
0.848
Per class
Kappa
0.696
KB relative information score
173.4474
Mean absolute error
0.1533
Mean prior absolute error
0.5
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
0.8481
Per class
Predictive accuracy
0.848
Prior entropy
1
Recall
0.848
Per class
Relative absolute error
0.3065
Root mean prior squared error
0.5
Root mean squared error
0.3694
Root relative squared error
0.7388
SciMark benchmark
945.6434
UserCPU time millis
70
UserCPU time millis testing
20
UserCPU time millis training
50

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