DEVELOPMENT... OpenML
Run
108484

Run 108484

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.3673
Per class
Build CPU time
0.0155
Build memory
96581721.6
F measure
0.5863
Per class
Kappa
-0.0314
KB relative information score
-76.4199
Mean absolute error
0.3259
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
0.5481
Per class
Predictive accuracy
0.68
Prior entropy
1.0305
Recall
0.68
Per class
Relative absolute error
1.1355
Root mean prior squared error
0.3755
Root mean squared error
0.4215
Root relative squared error
1.1226
SciMark benchmark
939.0159