DEVELOPMENT... OpenML
Run
108599

Run 108599

Task 3564 (Supervised Classification) analcatdata_germangss 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
0.5998
Per class
Build CPU time
0.0047
Build memory
345349660.8
F measure
0.2587
Per class
Kappa
0.17
KB relative information score
65.947
Mean absolute error
0.3437
Mean prior absolute error
0.375
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.221
Per class
Predictive accuracy
0.3775
Prior entropy
2
Recall
0.3775
Per class
Relative absolute error
0.9164
Root mean prior squared error
0.433
Root mean squared error
0.4159
Root relative squared error
0.9606
SciMark benchmark
919.8064