DEVELOPMENT... OpenML
Run
120161

Run 120161

Task 1798 (Supervised Classification) postoperative-patient-data Uploaded 10-12-2014 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)_I20
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
0.3516
Per class
Build CPU time
0.764
Build memory
1096520145.6
F measure
0.5142
Per class
Kappa
-0.163
KB relative information score
-85.1158
Mean absolute error
0.3233
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
0.5086
Per class
Predictive accuracy
0.52
Prior entropy
1.0305
Recall
0.52
Per class
Relative absolute error
1.1261
Root mean prior squared error
0.3755
Root mean squared error
0.5461
Root relative squared error
1.4543
SciMark benchmark
924.2473