DEVELOPMENT... OpenML
Run
168748

Run 168748

Task 3718 (Supervised Classification) boston 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
0.8993
Per class
F measure
0.8137
Per class
Kappa
0.6237
KB relative information score
302.8621
Mean absolute error
0.1936
Mean prior absolute error
0.4849
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8257
Per class
Predictive accuracy
0.8123
Prior entropy
0.9782
Recall
0.8123
Per class
Relative absolute error
0.3992
Root mean prior squared error
0.4924
Root mean squared error
0.4053
Root relative squared error
0.8232
SciMark benchmark
931.2336
UserCPU time millis
120
UserCPU time millis testing
30
UserCPU time millis training
90

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