DEVELOPMENT... OpenML
Run
167616

Run 167616

Task 3704 (Supervised Classification) kdd_el_nino-small 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
0.9722
Per class
F measure
0.9335
Per class
Kappa
0.8539
KB relative information score
663.1843
Mean absolute error
0.0663
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9335
Per class
Predictive accuracy
0.9335
Prior entropy
0.9348
Recall
0.9335
Per class
Relative absolute error
0.1456
Root mean prior squared error
0.4771
Root mean squared error
0.2447
Root relative squared error
0.513
SciMark benchmark
941.7954
UserCPU time millis
160
UserCPU time millis testing
40
UserCPU time millis training
120