DEVELOPMENT... OpenML
Run
166070

Run 166070

Task 3718 (Supervised Classification) boston 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
0.911
Per class
F measure
0.8327
Per class
Kappa
0.6567
KB relative information score
292.0617
Mean absolute error
0.2117
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
0.8344
Per class
Predictive accuracy
0.832
Prior entropy
0.9782
Recall
0.832
Per class
Relative absolute error
0.4366
Root mean prior squared error
0.4924
Root mean squared error
0.3407
Root relative squared error
0.6919
SciMark benchmark
894.7455
UserCPU time millis
60
UserCPU time millis testing
10
UserCPU time millis training
50