DEVELOPMENT... OpenML
Run
133128

Run 133128

Task 3597 (Supervised Classification) baskball 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
0.7651
Per class
Build CPU time
0.0214
Build memory
807509319.6667
F measure
0.7289
Per class
Kappa
0.459
KB relative information score
31.3477
Mean absolute error
0.3491
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7312
Per class
Predictive accuracy
0.7292
Prior entropy
0.9997
Recall
0.7292
Per class
Relative absolute error
0.6984
Root mean prior squared error
0.4999
Root mean squared error
0.4516
Root relative squared error
0.9033
SciMark benchmark
943.8094

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