DEVELOPMENT... OpenML
Run
134755

Run 134755

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.4354
Per class
Build CPU time
0.0035
Build memory
1543926624
F measure
0.5413
Per class
Kappa
-0.1141
KB relative information score
-57.1951
Mean absolute error
0.305
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
0.527
Per class
Predictive accuracy
0.5578
Prior entropy
1.0305
Recall
0.5578
Per class
Relative absolute error
1.0626
Root mean prior squared error
0.3755
Root mean squared error
0.5312
Root relative squared error
1.4148
SciMark benchmark
939.084