DEVELOPMENT... OpenML
Run
117389

Run 117389

Task 27 (Supervised Classification) colic Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.8373
Per class
Build CPU time
0.9432
Build memory
605904154.8913
F measure
0.7951
Per class
Kappa
0.5549
KB relative information score
195.2089
Mean absolute error
0.2166
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
0.7964
Per class
Predictive accuracy
0.7989
Prior entropy
0.9509
Recall
0.7989
Per class
Relative absolute error
0.4646
Root mean prior squared error
0.4827
Root mean squared error
0.4104
Root relative squared error
0.8501
SciMark benchmark
937.279