DEVELOPMENT... OpenML
Run
136226

Run 136226

Task 3715 (Supervised Classification) fri_c0_100_50 Uploaded 31-12-2014 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)_I80
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
0.488
Per class
Build CPU time
0.0049
Build memory
188067316
F measure
0.4849
Per class
Kappa
-0.0241
KB relative information score
-2.0577
Mean absolute error
0.51
Mean prior absolute error
0.4998
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
0.4878
Per class
Predictive accuracy
0.49
Prior entropy
0.9997
Recall
0.49
Per class
Relative absolute error
1.0204
Root mean prior squared error
0.4999
Root mean squared error
0.7141
Root relative squared error
1.4286
SciMark benchmark
939.8609

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