DEVELOPMENT... OpenML
Run
39784

Run 39784

Task 3809 (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
0.5478
Per class
Build CPU time
0.0434
Build memory
1315788439.7273
F measure
0.5796
Per class
Kappa
0.1591
KB relative information score
14.3602
Mean absolute error
0.4182
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
0.5798
Per class
Predictive accuracy
0.5795
Prior entropy
0.9996
Recall
0.5795
Per class
Relative absolute error
0.8369
Root mean prior squared error
0.4999
Root mean squared error
0.6395
Root relative squared error
1.2794
SciMark benchmark
945.0342