DEVELOPMENT... OpenML
Run
108512

Run 108512

Task 2073 (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
0.6253
Per class
Build CPU time
0.0237
Build memory
382909801.9299
F measure
0.2436
Per class
Kappa
0.1852
KB relative information score
289.4441
Mean absolute error
0.1402
Mean prior absolute error
0.1555
Number of instances
1484
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1753
Per class
Predictive accuracy
0.407
Prior entropy
2.5035
Recall
0.407
Per class
Relative absolute error
0.9016
Root mean prior squared error
0.2787
Root mean squared error
0.2648
Root relative squared error
0.9503
SciMark benchmark
925.481