DEVELOPMENT... OpenML
Run
108699

Run 108699

Task 3707 (Supervised Classification) analcatdata_runshoes Uploaded 09-12-2014 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)_I160
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
0.6898
Per class
Build CPU time
0.0303
Build memory
57573889.6
F measure
0.6453
Per class
Kappa
0.2553
KB relative information score
15.4725
Mean absolute error
0.3558
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.644
Per class
Predictive accuracy
0.65
Prior entropy
0.9728
Recall
0.65
Per class
Relative absolute error
0.7403
Root mean prior squared error
0.4899
Root mean squared error
0.5181
Root relative squared error
1.0575
SciMark benchmark
941.1732