DEVELOPMENT... OpenML
Run
121164

Run 121164

Task 27 (Supervised Classification) colic Uploaded 11-12-2014 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)_I80
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
0.8247
Per class
Build CPU time
70.2755
Build memory
43395419.7391
F measure
0.8313
Per class
Kappa
0.6373
KB relative information score
229.9184
Mean absolute error
0.1697
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.831
Per class
Predictive accuracy
0.8315
Prior entropy
0.9509
Recall
0.8315
Per class
Relative absolute error
0.364
Root mean prior squared error
0.4827
Root mean squared error
0.4107
Root relative squared error
0.8509
SciMark benchmark
943.4163