DEVELOPMENT... OpenML
Run
137180

Run 137180

Task 2125 (Supervised Classification) eucalyptus Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_REPTree(2)_I160
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.6493
Per class
Build CPU time
0.031
Build memory
129021104
F measure
0.3961
Per class
Kappa
0.2258
KB relative information score
32.8267
Mean absolute error
0.296
Mean prior absolute error
0.3134
Number of instances
242
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4041
Per class
Predictive accuracy
0.4008
Prior entropy
2.2629
Recall
0.4008
Per class
Relative absolute error
0.9444
Root mean prior squared error
0.3959
Root mean squared error
0.3826
Root relative squared error
0.9663
SciMark benchmark
938.8409