DEVELOPMENT... OpenML
Run
95344

Run 95344

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.5967
Per class
Build CPU time
0.0115
Build memory
329309286.8943
F measure
0.5768
Per class
Kappa
0.1776
KB relative information score
25.386
Mean absolute error
0.4635
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6022
Per class
Predictive accuracy
0.5799
Prior entropy
0.992
Recall
0.5799
Per class
Relative absolute error
0.9373
Root mean prior squared error
0.4972
Root mean squared error
0.4872
Root relative squared error
0.9799
SciMark benchmark
920.6941