DEVELOPMENT... OpenML
Run
108713

Run 108713

Task 3722 (Supervised Classification) hungarian 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
0.8878
Per class
Build CPU time
0.1037
Build memory
60629289.7143
F measure
0.8142
Per class
Kappa
0.5933
KB relative information score
157.9187
Mean absolute error
0.2124
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.814
Per class
Predictive accuracy
0.8163
Prior entropy
0.9439
Recall
0.8163
Per class
Relative absolute error
0.4605
Root mean prior squared error
0.4802
Root mean squared error
0.3672
Root relative squared error
0.7647
SciMark benchmark
939.7233