DEVELOPMENT... OpenML
Run
95126

Run 95126

Task 3859 (Supervised Classification) prnn_fglass 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
0.793
Per class
Build CPU time
0.0062
Build memory
131563722.6168
F measure
0.7397
Per class
Kappa
0.4217
KB relative information score
61.7799
Mean absolute error
0.3327
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.741
Per class
Predictive accuracy
0.7477
Prior entropy
0.9397
Recall
0.7477
Per class
Relative absolute error
0.7257
Root mean prior squared error
0.4786
Root mean squared error
0.4181
Root relative squared error
0.8737
SciMark benchmark
930.1524

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