DEVELOPMENT... OpenML
Run
108523

Run 108523

Task 2119 (Supervised Classification) yeast 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
0.6277
Per class
Build CPU time
0.007
Build memory
553230920
F measure
0.2147
Per class
Kappa
0.1485
KB relative information score
86.9073
Mean absolute error
0.1417
Mean prior absolute error
0.1553
Number of instances
489
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1504
Per class
Predictive accuracy
0.3763
Prior entropy
2.5035
Recall
0.3763
Per class
Relative absolute error
0.9119
Root mean prior squared error
0.2784
Root mean squared error
0.2697
Root relative squared error
0.9687
SciMark benchmark
939.0159