DEVELOPMENT... OpenML
Run
166058

Run 166058

Task 3706 (Supervised Classification) stock 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)_I160
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
0.9604
Per class
F measure
0.8766
Per class
Kappa
0.753
KB relative information score
669.2433
Mean absolute error
0.152
Mean prior absolute error
0.4996
Number of instances
950
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8787
Per class
Predictive accuracy
0.8768
Prior entropy
0.9995
Recall
0.8768
Per class
Relative absolute error
0.3043
Root mean prior squared error
0.4998
Root mean squared error
0.2863
Root relative squared error
0.5727
SciMark benchmark
894.7455
UserCPU time millis
340
UserCPU time millis testing
100
UserCPU time millis training
240