DEVELOPMENT... OpenML
Run
52887

Run 52887

Task 2097 (Learning Curve) satimage Uploaded 07-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9737 ± 0.0034
Per class
Build CPU time
6.7104
Build memory
3737024194.4572
F measure
0.839 ± 0.0111
Per class
Kappa
0.8042 ± 0.0127
KB relative information score
0.7254 ± 0.0133
Mean absolute error
0.0998 ± 0.0035
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8385 ± 0.0113
Per class
Predictive accuracy
0.842 ± 0.0103
Prior entropy
2.4834 ± 0.0009
Recall
0.842 ± 0.0103
Per class
Relative absolute error
0.3695 ± 0.013
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1982 ± 0.0052
Root relative squared error
0.5394 ± 0.0142
SciMark benchmark
1629.4508

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