DEVELOPMENT... OpenML
Run
120625

Run 120625

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)_I40
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
0.371
Per class
Build CPU time
3.2204
Build memory
154587676.8
F measure
0.5423
Per class
Kappa
-0.1483
KB relative information score
-6.2444
Mean absolute error
0.2846
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
0.5056
Per class
Predictive accuracy
0.5889
Prior entropy
1.0305
Recall
0.5889
Per class
Relative absolute error
0.9914
Root mean prior squared error
0.3755
Root mean squared error
0.4954
Root relative squared error
1.3193
SciMark benchmark
920.7965