DEVELOPMENT... OpenML
Run
95572

Run 95572

Task 3799 (Supervised Classification) fri_c3_500_10 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
0.87
Per class
Build CPU time
0.0279
Build memory
438435325.6
F measure
0.808
Per class
Kappa
0.613
KB relative information score
196.1466
Mean absolute error
0.3207
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.808
Per class
Predictive accuracy
0.808
Prior entropy
0.9945
Recall
0.808
Per class
Relative absolute error
0.6463
Root mean prior squared error
0.4981
Root mean squared error
0.3829
Root relative squared error
0.7688
SciMark benchmark
933.0871