DEVELOPMENT... OpenML
Run
132992

Run 132992

Task 2079 (Supervised Classification) eucalyptus Uploaded 27-12-2014 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)_I20
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
0.8585
Per class
Build CPU time
0.2563
Build memory
1404278311.2174
F measure
0.5748
Per class
Kappa
0.4553
KB relative information score
330.9761
Mean absolute error
0.2059
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5787
Per class
Predictive accuracy
0.5774
Prior entropy
2.2629
Recall
0.5774
Per class
Relative absolute error
0.6574
Root mean prior squared error
0.3957
Root mean squared error
0.3291
Root relative squared error
0.8317
SciMark benchmark
945.5885