DEVELOPMENT... OpenML
Run
121839

Run 121839

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

weka.AdaBoostM1_LMT(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_LMT(2)_I160
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.3853
Per class
Build CPU time
2.567
Build memory
884219909.6
F measure
0.519
Per class
Kappa
-0.1672
KB relative information score
-70.878
Mean absolute error
0.3137
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
0.506
Per class
Predictive accuracy
0.5333
Prior entropy
1.0305
Recall
0.5333
Per class
Relative absolute error
1.0927
Root mean prior squared error
0.3755
Root mean squared error
0.5436
Root relative squared error
1.4476
SciMark benchmark
935.6292