DEVELOPMENT... OpenML
Run
108668

Run 108668

Task 3665 (Supervised Classification) pyrim 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
0.9351
Per class
Build CPU time
0.066
Build memory
90729732.7568
F measure
0.9185
Per class
Kappa
0.8319
KB relative information score
62.2581
Mean absolute error
0.0756
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9195
Per class
Predictive accuracy
0.9189
Prior entropy
0.9819
Recall
0.9189
Per class
Relative absolute error
0.1551
Root mean prior squared error
0.4934
Root mean squared error
0.2687
Root relative squared error
0.5447
SciMark benchmark
939.7233