DEVELOPMENT... OpenML
Run
19826

Run 19826

Task 27 (Supervised Classification) colic Uploaded 17-06-2014 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)_I40
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
0.8354
Per class
F measure
0.8126
Per class
Kappa
0.5982
KB relative information score
213.5002
Mean absolute error
0.1904
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8128
Per class
Predictive accuracy
0.8125
Prior entropy
0.9509
Recall
0.8125
Per class
Relative absolute error
0.4084
Root mean prior squared error
0.4827
Root mean squared error
0.422
Root relative squared error
0.8744
SciMark benchmark
945.3103[560.30860489012831014.7209476623404476.7947510829143909.59057174132591765.136766288487]