DEVELOPMENT... OpenML
Run
95186

Run 95186

Task 27 (Supervised Classification) colic Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8595
Per class
Build CPU time
0.0132
Build memory
172900305.5435
F measure
0.8232
Per class
Kappa
0.6204
KB relative information score
168.4361
Mean absolute error
0.2623
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
0.8231
Per class
Predictive accuracy
0.8234
Prior entropy
0.9509
Recall
0.8234
Per class
Relative absolute error
0.5627
Root mean prior squared error
0.4827
Root mean squared error
0.3747
Root relative squared error
0.7762
SciMark benchmark
930.1524