DEVELOPMENT... OpenML
Run
167994

Run 167994

Task 27 (Supervised Classification) colic Uploaded 19-02-2015 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)_I20
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
0.8515
Per class
F measure
0.7983
Per class
Kappa
0.5658
KB relative information score
201.9912
Mean absolute error
0.204
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7978
Per class
Predictive accuracy
0.7989
Prior entropy
0.9509
Recall
0.7989
Per class
Relative absolute error
0.4377
Root mean prior squared error
0.4827
Root mean squared error
0.4174
Root relative squared error
0.8648
SciMark benchmark
911.3823
UserCPU time millis
80
UserCPU time millis testing
20
UserCPU time millis training
60