DEVELOPMENT... OpenML
Run
120110

Run 120110

Task 264 (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
0.3677
Per class
Build CPU time
1.762
Build memory
101996552
F measure
0.4375
Per class
Kappa
-0.3147
KB relative information score
-11.6497
Mean absolute error
0.3794
Mean prior absolute error
0.2798
Number of instances
29
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
0.4138
Prior entropy
1.0305
Recall
0.4138
Per class
Relative absolute error
1.3559
Root mean prior squared error
0.3657
Root mean squared error
0.5915
Root relative squared error
1.6174
SciMark benchmark
942.0692