DEVELOPMENT... OpenML
Run
165903

Run 165903

Task 3550 (Supervised Classification) analcatdata_asbestos 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
0.7814
Per class
F measure
0.7837
Per class
Kappa
0.568
KB relative information score
36.0676
Mean absolute error
0.2945
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7925
Per class
Predictive accuracy
0.7831
Prior entropy
0.9919
Recall
0.7831
Per class
Relative absolute error
0.5959
Root mean prior squared error
0.4971
Root mean squared error
0.4155
Root relative squared error
0.8359
SciMark benchmark
936.7115
UserCPU time millis
10
UserCPU time millis training
10