DEVELOPMENT... OpenML
Run
136549

Run 136549

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 31-12-2014 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)_I160
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
0.4231
Per class
Build CPU time
0.0203
Build memory
105199620.8
F measure
0.536
Per class
Kappa
-0.1195
KB relative information score
-61.2341
Mean absolute error
0.3076
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
0.5247
Per class
Predictive accuracy
0.5489
Prior entropy
1.0305
Recall
0.5489
Per class
Relative absolute error
1.0716
Root mean prior squared error
0.3755
Root mean squared error
0.5363
Root relative squared error
1.4283
SciMark benchmark
947.5446