DEVELOPMENT... OpenML
Run
132706

Run 132706

Task 3799 (Supervised Classification) fri_c3_500_10 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)_I40
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
0.965
Per class
Build CPU time
0.1823
Build memory
966995984.8
F measure
0.9018
Per class
Kappa
0.8017
KB relative information score
320.6638
Mean absolute error
0.196
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9024
Per class
Predictive accuracy
0.902
Prior entropy
0.9945
Recall
0.902
Per class
Relative absolute error
0.395
Root mean prior squared error
0.4981
Root mean squared error
0.2788
Root relative squared error
0.5597
SciMark benchmark
920.6725

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