DEVELOPMENT... OpenML
Run
133342

Run 133342

Task 3837 (Supervised Classification) hayes-roth 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
0.9006
Per class
Build CPU time
0.425
Build memory
1164885334.6667
F measure
0.8182
Per class
Kappa
0.6166
KB relative information score
79.104
Mean absolute error
0.1826
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8182
Per class
Predictive accuracy
0.8182
Prior entropy
0.9635
Recall
0.8182
Per class
Relative absolute error
0.3847
Root mean prior squared error
0.4869
Root mean squared error
0.3758
Root relative squared error
0.7717
SciMark benchmark
943.8094