DEVELOPMENT... OpenML
Run
166523

Run 166523

Task 27 (Supervised Classification) colic 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)_I80
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
0.8254
Per class
F measure
0.7707
Per class
Kappa
0.5125
KB relative information score
164.1862
Mean absolute error
0.2557
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
0.7738
Per class
Predictive accuracy
0.769
Prior entropy
0.9509
Recall
0.769
Per class
Relative absolute error
0.5485
Root mean prior squared error
0.4827
Root mean squared error
0.4082
Root relative squared error
0.8456
SciMark benchmark
939.7623
UserCPU time millis
60
UserCPU time millis testing
10
UserCPU time millis training
50