DEVELOPMENT... OpenML
Run
123231

Run 123231

Task 3903 (Supervised Classification) pc3 Uploaded 18-12-2014 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)_I80
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
0.8117
Per class
Build CPU time
2549.5876
Build memory
763866112.1689
F measure
0.8689
Per class
Kappa
0.208
KB relative information score
48.1413
Mean absolute error
0.1301
Mean prior absolute error
0.1842
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8595
Per class
Predictive accuracy
0.8855
Prior entropy
0.478
Recall
0.8855
Per class
Relative absolute error
0.7062
Root mean prior squared error
0.3031
Root mean squared error
0.2992
Root relative squared error
0.9869
SciMark benchmark
899.4388