DEVELOPMENT... OpenML
Run
134802

Run 134802

Task 2125 (Supervised Classification) eucalyptus Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.704
Per class
Build CPU time
0.003
Build memory
277424280
F measure
0.4975
Per class
Kappa
0.3662
KB relative information score
100.7998
Mean absolute error
0.1989
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
0.4914
Per class
Predictive accuracy
0.5083
Prior entropy
2.2629
Recall
0.5083
Per class
Relative absolute error
0.6347
Root mean prior squared error
0.3959
Root mean squared error
0.4307
Root relative squared error
1.0878
SciMark benchmark
939.084