DEVELOPMENT... OpenML
Run
134100

Run 134100

Task 257 (Supervised Classification) colic Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.8095
Per class
Build CPU time
0.003
Build memory
452917296
F measure
0.7521
Per class
Kappa
0.5039
KB relative information score
64.3569
Mean absolute error
0.2455
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
0.7771
Per class
Predictive accuracy
0.7603
Prior entropy
0.9509
Recall
0.7603
Per class
Relative absolute error
0.5028
Root mean prior squared error
0.505
Root mean squared error
0.4532
Root relative squared error
0.8973
SciMark benchmark
939.084