DEVELOPMENT... OpenML
Run
119556

Run 119556

Task 257 (Supervised Classification) colic 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
0.8092
Per class
Build CPU time
5.798
Build memory
1511318072
F measure
0.7682
Per class
Kappa
0.5319
KB relative information score
68.7925
Mean absolute error
0.2263
Mean prior absolute error
0.4882
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7682
Per class
Predictive accuracy
0.7686
Prior entropy
0.9509
Recall
0.7686
Per class
Relative absolute error
0.4635
Root mean prior squared error
0.505
Root mean squared error
0.4523
Root relative squared error
0.8956
SciMark benchmark
916.8516