DEVELOPMENT... OpenML
Run
166888

Run 166888

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)_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
0.9593
Per class
F measure
0.8733
Per class
Kappa
0.7466
KB relative information score
671.14
Mean absolute error
0.1507
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
0.8758
Per class
Predictive accuracy
0.8737
Prior entropy
0.9995
Recall
0.8737
Per class
Relative absolute error
0.3016
Root mean prior squared error
0.4998
Root mean squared error
0.2878
Root relative squared error
0.5759
SciMark benchmark
923.7642
UserCPU time millis
770
UserCPU time millis testing
220
UserCPU time millis training
550