DEVELOPMENT... OpenML
Run
35910

Run 35910

Task 1907 (Supervised Classification) colic Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I10
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.8822
Per class
Build CPU time
0.1444
Build memory
382719141.1957
F measure
0.8412
Per class
Kappa
0.6562
KB relative information score
2381.6341
Mean absolute error
0.1598
Mean prior absolute error
0.4662
Number of instances
3680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8416
Per class
Predictive accuracy
0.8429
Prior entropy
0.9509
Recall
0.8429
Per class
Relative absolute error
0.3428
Root mean prior squared error
0.4827
Root mean squared error
0.3856
Root relative squared error
0.7988
SciMark benchmark
940.9202