DEVELOPMENT... OpenML
Run
43919

Run 43919

Task 257 (Supervised Classification) colic Uploaded 29-10-2014 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)_I160
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
0.8135
Per class
Build CPU time
1.707
Build memory
830312976
F measure
0.7922
Per class
Kappa
0.5802
KB relative information score
74.7165
Mean absolute error
0.2034
Mean prior absolute error
0.4882
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7939
Per class
Predictive accuracy
0.7934
Prior entropy
0.9509
Recall
0.7934
Per class
Relative absolute error
0.4167
Root mean prior squared error
0.505
Root mean squared error
0.4481
Root relative squared error
0.8874
SciMark benchmark
890.4487