DEVELOPMENT... OpenML
Run
36946

Run 36946

Task 4368 (Supervised Classification) cholesterol 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
0.5353
Per class
Build CPU time
0.1775
Build memory
1120079221.7558
F measure
0.5263
Per class
Kappa
0.0417
KB relative information score
136.893
Mean absolute error
0.4712
Mean prior absolute error
0.4955
Number of instances
3030
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5255
Per class
Predictive accuracy
0.53
Prior entropy
0.9935
Recall
0.53
Per class
Relative absolute error
0.951
Root mean prior squared error
0.4977
Root mean squared error
0.637
Root relative squared error
1.28
SciMark benchmark
931.9798