DEVELOPMENT... OpenML
Run
16633

Run 16633

Task 36 (Supervised Classification) segment Uploaded 04-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(1)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(1)_I20
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9949
Per class
F measure
0.9787
Per class
Kappa
0.9753
KB relative information score
2245.3267
Mean absolute error
0.0099
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9788
Per class
Predictive accuracy
0.9788
Prior entropy
2.8074
Recall
0.9788
Per class
Relative absolute error
0.0404
Root mean prior squared error
0.3499
Root mean squared error
0.072
Root relative squared error
0.2058
SciMark benchmark
941.2633[554.4312430895411010.9942233373424480.2065271424506905.19332426036521755.4912331040343]

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