DEVELOPMENT... OpenML
Run
38683

Run 38683

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)_I40
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
0.5302
Per class
Build CPU time
0.3089
Build memory
967517172.8449
F measure
0.5192
Per class
Kappa
0.0273
KB relative information score
109.0418
Mean absolute error
0.4755
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
0.5182
Per class
Predictive accuracy
0.5218
Prior entropy
0.9935
Recall
0.5218
Per class
Relative absolute error
0.9597
Root mean prior squared error
0.4977
Root mean squared error
0.6502
Root relative squared error
1.3064
SciMark benchmark
944.5683