DEVELOPMENT... OpenML
Run
168742

Run 168742

Task 3712 (Supervised Classification) wind Uploaded 20-02-2015 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)_I10
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
0.8299
Per class
F measure
0.8089
Per class
Kappa
0.6157
KB relative information score
4048.2725
Mean absolute error
0.1911
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
0.8102
Per class
Predictive accuracy
0.8096
Prior entropy
0.9969
Recall
0.8096
Per class
Relative absolute error
0.3839
Root mean prior squared error
0.4989
Root mean squared error
0.4349
Root relative squared error
0.8717
SciMark benchmark
931.2336
UserCPU time millis
1230
UserCPU time millis testing
380
UserCPU time millis training
850