DEVELOPMENT... OpenML
Run
44860

Run 44860

Task 4310 (Supervised Classification) sleep 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
0.6569
Per class
Build CPU time
0.3208
Build memory
1188220071.3807
F measure
0.6514
Per class
Kappa
0.2993
KB relative information score
188.3802
Mean absolute error
0.3459
Mean prior absolute error
0.498
Number of instances
620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6525
Per class
Predictive accuracy
0.6532
Prior entropy
0.9972
Recall
0.6532
Per class
Relative absolute error
0.6946
Root mean prior squared error
0.499
Root mean squared error
0.5867
Root relative squared error
1.1758
SciMark benchmark
935.2997