Run
61966

Run 61966

Task 1740 (Learning Curve) soybean Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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)_I10
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.

19 Evaluation measures

Area under ROC curve
0.7972 ± 0.0097
Per class
Build CPU time
0.001
Build memory
1404563428.2
Kappa
0.1942 ± 0.0154
KB relative information score
0.324 ± 0.0114
Mean absolute error
0.0826 ± 0.0009
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2796 ± 0.0139
Prior entropy
3.8358 ± 0.0227
Recall
0.2796 ± 0.0139
Per class
Relative absolute error
0.8596 ± 0.0101
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.2033 ± 0.0012
Root relative squared error
0.9278 ± 0.006
SciMark benchmark
1559.5381