DEVELOPMENT... OpenML
Run
132358

Run 132358

Task 1798 (Supervised Classification) postoperative-patient-data 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
0.3855
Per class
Build CPU time
0.1513
Build memory
1372825009.6
F measure
0.5309
Per class
Kappa
-0.1713
KB relative information score
-50.3123
Mean absolute error
0.3006
Mean prior absolute error
0.2871
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5034
Per class
Predictive accuracy
0.5644
Prior entropy
1.0305
Recall
0.5644
Per class
Relative absolute error
1.0472
Root mean prior squared error
0.3755
Root mean squared error
0.496
Root relative squared error
1.3211
SciMark benchmark
940.5537