DEVELOPMENT... OpenML
Run
39483

Run 39483

Task 4514 (Supervised Classification) visualizing_ethanol 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
0.574
Per class
Build CPU time
0.0591
Build memory
325261311.5182
F measure
0.5819
Per class
Kappa
0.1635
KB relative information score
142.0891
Mean absolute error
0.4192
Mean prior absolute error
0.4997
Number of instances
880
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.582
Per class
Predictive accuracy
0.5818
Prior entropy
0.9996
Recall
0.5818
Per class
Relative absolute error
0.8387
Root mean prior squared error
0.4999
Root mean squared error
0.6409
Root relative squared error
1.2821
SciMark benchmark
941.4198