DEVELOPMENT... OpenML
Run
37033

Run 37033

Task 27 (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)_I20
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
0.8869
Per class
Build CPU time
0.2837
Build memory
920068370.1739
F measure
0.8385
Per class
Kappa
0.6512
KB relative information score
238.2916
Mean absolute error
0.1588
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
0.8383
Per class
Predictive accuracy
0.8397
Prior entropy
0.9509
Recall
0.8397
Per class
Relative absolute error
0.3406
Root mean prior squared error
0.4827
Root mean squared error
0.3874
Root relative squared error
0.8025
SciMark benchmark
944.0386