DEVELOPMENT... OpenML
Run
134490

Run 134490

Task 3785 (Supervised Classification) fri_c2_100_50 Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7689
Per class
Build CPU time
0.0013
Build memory
1701833928
F measure
0.7709
Per class
Kappa
0.5325
KB relative information score
52.2507
Mean absolute error
0.23
Mean prior absolute error
0.4875
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7732
Per class
Predictive accuracy
0.77
Prior entropy
0.9822
Recall
0.77
Per class
Relative absolute error
0.4718
Root mean prior squared error
0.4936
Root mean squared error
0.4796
Root relative squared error
0.9717
SciMark benchmark
939.084

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