DEVELOPMENT... OpenML
Run
108479

Run 108479

Task 1786 (Supervised Classification) mfeat-zernike 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
0.6759
Per class
Build CPU time
0.0299
Build memory
75670104.8
F measure
0.1152
Per class
Kappa
0.1049
KB relative information score
1884.4469
Mean absolute error
0.1691
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0961
Per class
Predictive accuracy
0.1944
Prior entropy
3.3219
Recall
0.1944
Per class
Relative absolute error
0.9393
Root mean prior squared error
0.3
Root mean squared error
0.291
Root relative squared error
0.97
SciMark benchmark
936.1433