DEVELOPMENT... OpenML
Run
108494

Run 108494

Task 1805 (Supervised Classification) soybean 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
0.8089
Per class
Build CPU time
0.024
Build memory
27943790.8287
F measure
0.1595
Per class
Kappa
0.1942
KB relative information score
1103.7111
Mean absolute error
0.0826
Mean prior absolute error
0.0961
Number of instances
3415
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1327
Per class
Predictive accuracy
0.2796
Prior entropy
3.8572
Recall
0.2796
Per class
Relative absolute error
0.8593
Root mean prior squared error
0.2191
Root mean squared error
0.2032
Root relative squared error
0.9276
SciMark benchmark
937.5625