DEVELOPMENT... OpenML
Run
124231

Run 124231

Task 3713 (Supervised Classification) schlvote Uploaded 23-12-2014 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)_I20
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
0.6839
Per class
Build CPU time
0.0988
Build memory
563641893.0526
F measure
0.7702
Per class
Kappa
0.377
KB relative information score
15.9
Mean absolute error
0.2054
Mean prior absolute error
0.3934
Number of instances
38
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7741
Per class
Predictive accuracy
0.7895
Prior entropy
0.8485
Recall
0.7895
Per class
Relative absolute error
0.5221
Root mean prior squared error
0.4405
Root mean squared error
0.4382
Root relative squared error
0.9947
SciMark benchmark
946.4503