DEVELOPMENT... OpenML
Run
135956

Run 135956

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)_I80
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
0.4248
Per class
Build CPU time
0.0111
Build memory
2660812556.8
F measure
0.5368
Per class
Kappa
-0.121
KB relative information score
-59.8827
Mean absolute error
0.3067
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
0.5243
Per class
Predictive accuracy
0.5511
Prior entropy
1.0305
Recall
0.5511
Per class
Relative absolute error
1.0685
Root mean prior squared error
0.3755
Root mean squared error
0.5346
Root relative squared error
1.4238
SciMark benchmark
934.6076