DEVELOPMENT... OpenML
Run
95423

Run 95423

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.8721
Per class
Build CPU time
0.0166
Build memory
134661006.4
F measure
0.7998
Per class
Kappa
0.5975
KB relative information score
225.1097
Mean absolute error
0.2896
Mean prior absolute error
0.4977
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
0.7998
Per class
Predictive accuracy
0.8
Prior entropy
0.9967
Recall
0.8
Per class
Relative absolute error
0.5819
Root mean prior squared error
0.4988
Root mean squared error
0.3787
Root relative squared error
0.7591
SciMark benchmark
933.0871