DEVELOPMENT... OpenML
Run
132252

Run 132252

Task 27 (Supervised Classification) colic Uploaded 26-12-2014 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)_I40
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
0.8381
Per class
Build CPU time
7.2861
Build memory
1560310933.5
F measure
0.8005
Per class
Kappa
0.5762
KB relative information score
201.7814
Mean absolute error
0.2046
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
0.8038
Per class
Predictive accuracy
0.7989
Prior entropy
0.9509
Recall
0.7989
Per class
Relative absolute error
0.4389
Root mean prior squared error
0.4827
Root mean squared error
0.4343
Root relative squared error
0.8998
SciMark benchmark
940.5537