DEVELOPMENT... OpenML
Run
35777

Run 35777

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)_I10
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
0.9152
Per class
Build CPU time
0.0807
Build memory
417253825.3675
F measure
0.8312
Per class
Kappa
0.6592
KB relative information score
310.8578
Mean absolute error
0.1662
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
0.8311
Per class
Predictive accuracy
0.8312
Prior entropy
0.9937
Recall
0.8312
Per class
Relative absolute error
0.3353
Root mean prior squared error
0.4978
Root mean squared error
0.3833
Root relative squared error
0.7699
SciMark benchmark
941.5665