DEVELOPMENT... OpenML
Run
131204

Run 131204

Task 2125 (Supervised Classification) eucalyptus Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.8486
Per class
Build CPU time
0.256
Build memory
2699642032
F measure
0.5316
Per class
Kappa
0.4016
KB relative information score
99.0884
Mean absolute error
0.216
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
0.5408
Per class
Predictive accuracy
0.5372
Prior entropy
2.2629
Recall
0.5372
Per class
Relative absolute error
0.6892
Root mean prior squared error
0.3959
Root mean squared error
0.3378
Root relative squared error
0.8533
SciMark benchmark
937.5757