DEVELOPMENT... OpenML
Run
132307

Run 132307

Task 264 (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
0.4205
Per class
Build CPU time
0.525
Build memory
1255978464
F measure
0.5149
Per class
Kappa
-0.2694
KB relative information score
-3.4417
Mean absolute error
0.2925
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4828
Per class
Predictive accuracy
0.5517
Prior entropy
1.0305
Recall
0.5517
Per class
Relative absolute error
1.0455
Root mean prior squared error
0.3657
Root mean squared error
0.5355
Root relative squared error
1.4642
SciMark benchmark
940.5537