DEVELOPMENT... OpenML
Run
119519

Run 119519

Task 34 (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)_I10
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
0.3556
Per class
Build CPU time
1.1152
Build memory
190683522.4
F measure
0.4983
Per class
Kappa
-0.2517
KB relative information score
-9.165
Mean absolute error
0.2951
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4676
Per class
Predictive accuracy
0.5333
Prior entropy
1.0305
Recall
0.5333
Per class
Relative absolute error
1.0279
Root mean prior squared error
0.3755
Root mean squared error
0.5028
Root relative squared error
1.339
SciMark benchmark
913.3372