DEVELOPMENT... OpenML
Run
108908

Run 108908

Task 22 (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)_I80
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
0.6681
Per class
Build CPU time
0.0336
Build memory
233270383.2
F measure
0.0653
Per class
Kappa
0.1067
KB relative information score
374.2919
Mean absolute error
0.1691
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0392
Per class
Predictive accuracy
0.196
Prior entropy
3.3219
Recall
0.196
Per class
Relative absolute error
0.9396
Root mean prior squared error
0.3
Root mean squared error
0.2909
Root relative squared error
0.9698
SciMark benchmark
934.2858