DEVELOPMENT... OpenML
Run
108429

Run 108429

Task 15 (Supervised Classification) breast-w 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
0.9911
Per class
Build CPU time
0.2528
Build memory
68364909.3677
F measure
0.9557
Per class
Kappa
0.9019
KB relative information score
626.9383
Mean absolute error
0.0454
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9557
Per class
Predictive accuracy
0.9557
Prior entropy
0.9297
Recall
0.9557
Per class
Relative absolute error
0.1004
Root mean prior squared error
0.4753
Root mean squared error
0.1888
Root relative squared error
0.3972
SciMark benchmark
939.0159

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