Run
61981

Run 61981

Task 1757 (Learning Curve) waveform-5000 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.

21 Evaluation measures

Area under ROC curve
0.8726 ± 0.007
Per class
Build CPU time
0.1088
Build memory
5088776473.4286
F measure
0.6384 ± 0.035
Per class
Kappa
0.5071 ± 0.0324
KB relative information score
0.2073 ± 0.0363
Mean absolute error
0.3852 ± 0.012
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7126 ± 0.0121
Per class
Predictive accuracy
0.6706 ± 0.0219
Prior entropy
1.5849 ± 0
Recall
0.6706 ± 0.0219
Per class
Relative absolute error
0.8668 ± 0.0271
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.4171 ± 0.0101
Root relative squared error
0.8848 ± 0.0214
SciMark benchmark
1605.1864