DEVELOPMENT... OpenML
Run
44908

Run 44908

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 30-10-2014 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)_I160
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
0.5705
Per class
Build CPU time
0.1728
Build memory
1806909829.4546
F measure
0.5787
Per class
Kappa
0.1608
KB relative information score
13.8848
Mean absolute error
0.4209
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5817
Per class
Predictive accuracy
0.5795
Prior entropy
0.9996
Recall
0.5795
Per class
Relative absolute error
0.8423
Root mean prior squared error
0.4999
Root mean squared error
0.6477
Root relative squared error
1.2958
SciMark benchmark
944.0386