DEVELOPMENT... OpenML
Run
119561

Run 119561

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)_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
0.3929
Per class
Build CPU time
1.522
Build memory
184512904
F measure
0.4239
Per class
Kappa
-0.4126
KB relative information score
-12.6336
Mean absolute error
0.3836
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
0.4345
Per class
Predictive accuracy
0.4138
Prior entropy
1.0305
Recall
0.4138
Per class
Relative absolute error
1.3709
Root mean prior squared error
0.3657
Root mean squared error
0.5916
Root relative squared error
1.6175
SciMark benchmark
913.3372