DEVELOPMENT... OpenML
Run
166894

Run 166894

Task 3712 (Supervised Classification) wind 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
0.8866
Per class
F measure
0.8246
Per class
Kappa
0.6473
KB relative information score
3564.4065
Mean absolute error
0.2434
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.826
Per class
Predictive accuracy
0.8252
Prior entropy
0.9969
Recall
0.8252
Per class
Relative absolute error
0.4888
Root mean prior squared error
0.4989
Root mean squared error
0.3575
Root relative squared error
0.7165
SciMark benchmark
923.7642
UserCPU time millis
980
UserCPU time millis testing
260
UserCPU time millis training
720