DEVELOPMENT... OpenML
Run
108433

Run 108433

Task 244 (Supervised Classification) mfeat-fourier 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
0.7316
Per class
Build CPU time
0.049
Build memory
527447688
F measure
0.0519
Per class
Kappa
0.0892
KB relative information score
156.5115
Mean absolute error
0.1654
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
0.0308
Per class
Predictive accuracy
0.1697
Prior entropy
3.3219
Recall
0.1697
Per class
Relative absolute error
0.9189
Root mean prior squared error
0.3
Root mean squared error
0.2877
Root relative squared error
0.9589
SciMark benchmark
943.7751