DEVELOPMENT... OpenML
Run
109001

Run 109001

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)_I80
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
0.3658
Per class
Build CPU time
0.0039
Build memory
87367422.4
F measure
0.5864
Per class
Kappa
-0.0374
KB relative information score
-79.886
Mean absolute error
0.328
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
0.5513
Per class
Predictive accuracy
0.6689
Prior entropy
1.0305
Recall
0.6689
Per class
Relative absolute error
1.1427
Root mean prior squared error
0.3755
Root mean squared error
0.4213
Root relative squared error
1.1219
SciMark benchmark
942.3919