DEVELOPMENT... OpenML
Run
38900

Run 38900

Task 4396 (Supervised Classification) sensory 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
0.7324
Per class
Build CPU time
0.1718
Build memory
417263994.8792
F measure
0.6914
Per class
Kappa
0.3599
KB relative information score
2026.9826
Mean absolute error
0.3127
Mean prior absolute error
0.4856
Number of instances
5760
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6926
Per class
Predictive accuracy
0.6964
Prior entropy
0.9792
Recall
0.6964
Per class
Relative absolute error
0.6441
Root mean prior squared error
0.4927
Root mean squared error
0.5132
Root relative squared error
1.0416
SciMark benchmark
945.0342