DEVELOPMENT... OpenML
Run
124553

Run 124553

Task 1791 (Supervised Classification) colic Uploaded 24-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_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_LWL_DecisionStump(2)_I10
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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
0.8404
Per class
Build CPU time
1.8954
Build memory
1011784882.4
F measure
0.788
Per class
Kappa
0.5449
KB relative information score
967.2056
Mean absolute error
0.2158
Mean prior absolute error
0.4662
Number of instances
1840
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7879
Per class
Predictive accuracy
0.788
Prior entropy
0.9509
Recall
0.788
Per class
Relative absolute error
0.463
Root mean prior squared error
0.4827
Root mean squared error
0.4204
Root relative squared error
0.8711
SciMark benchmark
939.0159