DEVELOPMENT... OpenML
Run
108434

Run 108434

Task 246 (Supervised Classification) mfeat-karhunen 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
0.7068
Per class
Build CPU time
0.047
Build memory
63210672
F measure
0.0573
Per class
Kappa
0.0955
KB relative information score
137.1981
Mean absolute error
0.1676
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0341
Per class
Predictive accuracy
0.1803
Prior entropy
3.3219
Recall
0.1803
Per class
Relative absolute error
0.931
Root mean prior squared error
0.3
Root mean squared error
0.2895
Root relative squared error
0.9651
SciMark benchmark
922.3661