DEVELOPMENT... OpenML
Run
132103

Run 132103

Task 3794 (Supervised Classification) disclosure_z Uploaded 26-12-2014 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)_I80
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
0.5133
Per class
Build CPU time
0.2343
Build memory
674992734.3323
F measure
0.5183
Per class
Kappa
0.0334
KB relative information score
4.2899
Mean absolute error
0.4961
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5181
Per class
Predictive accuracy
0.5196
Prior entropy
0.9981
Recall
0.5196
Per class
Relative absolute error
0.9949
Root mean prior squared error
0.4993
Root mean squared error
0.5276
Root relative squared error
1.0565
SciMark benchmark
943.7751