DEVELOPMENT... OpenML
Run
168474

Run 168474

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)_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
0.8534
Per class
F measure
0.8136
Per class
Kappa
0.6031
KB relative information score
209.8446
Mean absolute error
0.1957
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
0.8158
Per class
Predictive accuracy
0.8125
Prior entropy
0.9509
Recall
0.8125
Per class
Relative absolute error
0.4198
Root mean prior squared error
0.4827
Root mean squared error
0.4199
Root relative squared error
0.8699
SciMark benchmark
945.6434
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30