DEVELOPMENT... OpenML
Run
132852

Run 132852

Task 27 (Supervised Classification) colic 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
0.8546
Per class
Build CPU time
4.485
Build memory
811423253
F measure
0.8255
Per class
Kappa
0.6245
KB relative information score
219.2444
Mean absolute error
0.1848
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
0.8252
Per class
Predictive accuracy
0.8261
Prior entropy
0.9509
Recall
0.8261
Per class
Relative absolute error
0.3964
Root mean prior squared error
0.4827
Root mean squared error
0.4036
Root relative squared error
0.8362
SciMark benchmark
924.9295