DEVELOPMENT... OpenML
Run
38830

Run 38830

Task 4385 (Supervised Classification) chscase_vine1 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
0.9009
Per class
Build CPU time
0.0028
Build memory
471394561.2154
F measure
0.8463
Per class
Kappa
0.6916
KB relative information score
317.6292
Mean absolute error
0.2045
Mean prior absolute error
0.4972
Number of instances
520
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8474
Per class
Predictive accuracy
0.8462
Prior entropy
0.996
Recall
0.8462
Per class
Relative absolute error
0.4114
Root mean prior squared error
0.4985
Root mean squared error
0.3411
Root relative squared error
0.6842
SciMark benchmark
944.2618