DEVELOPMENT... OpenML
Run
135253

Run 135253

Task 34 (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)_I40
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
0.4929
Per class
Build CPU time
0.0128
Build memory
2822486669.6
F measure
0.5705
Per class
Kappa
-0.0851
KB relative information score
-0.9439
Mean absolute error
0.2673
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5368
Per class
Predictive accuracy
0.6222
Prior entropy
1.0305
Recall
0.6222
Per class
Relative absolute error
0.9313
Root mean prior squared error
0.3755
Root mean squared error
0.4928
Root relative squared error
1.3124
SciMark benchmark
939.084