DEVELOPMENT... OpenML
Run
39172

Run 39172

Task 3679 (Supervised Classification) chscase_vine2 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
0.9348
Per class
Build CPU time
0.2211
Build memory
168342709.5385
F measure
0.8697
Per class
Kappa
0.7373
KB relative information score
340.6076
Mean absolute error
0.1354
Mean prior absolute error
0.4956
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8699
Per class
Predictive accuracy
0.8697
Prior entropy
0.9937
Recall
0.8697
Per class
Relative absolute error
0.2732
Root mean prior squared error
0.4978
Root mean squared error
0.3473
Root relative squared error
0.6977
SciMark benchmark
945.6653