DEVELOPMENT... OpenML
Run
130450

Run 130450

Task 27 (Supervised Classification) colic Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I160
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.8417
Per class
Build CPU time
0.1487
Build memory
1250561640.3044
F measure
0.7963
Per class
Kappa
0.5633
KB relative information score
196.2882
Mean absolute error
0.2128
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
0.7965
Per class
Predictive accuracy
0.7962
Prior entropy
0.9509
Recall
0.7962
Per class
Relative absolute error
0.4565
Root mean prior squared error
0.4827
Root mean squared error
0.4206
Root relative squared error
0.8715
SciMark benchmark
939.0159