DEVELOPMENT... OpenML
Run
113100

Run 113100

Task 257 (Supervised Classification) colic Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I10
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8225
Per class
Build CPU time
0.091
Build memory
464694416
F measure
0.8094
Per class
Kappa
0.6149
KB relative information score
71.9245
Mean absolute error
0.2198
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
0.8098
Per class
Predictive accuracy
0.8099
Prior entropy
0.9509
Recall
0.8099
Per class
Relative absolute error
0.4502
Root mean prior squared error
0.505
Root mean squared error
0.4243
Root relative squared error
0.8402
SciMark benchmark
939.6298