DEVELOPMENT... OpenML
Run
109137

Run 109137

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

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.7913
Per class
Build CPU time
0.026
Build memory
932937264
F measure
0.7987
Per class
Kappa
0.5938
KB relative information score
75.7594
Mean absolute error
0.2007
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
0.8073
Per class
Predictive accuracy
0.8017
Prior entropy
0.9509
Recall
0.8017
Per class
Relative absolute error
0.4112
Root mean prior squared error
0.505
Root mean squared error
0.4436
Root relative squared error
0.8784
SciMark benchmark
943.7751