DEVELOPMENT... OpenML
Run
52908

Run 52908

Task 1752 (Learning Curve) vehicle 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
0.9155 ± 0.021
Per class
Build CPU time
0.3789
Build memory
2469854576.1778
F measure
0.7245 ± 0.0722
Per class
Kappa
0.6439 ± 0.0901
KB relative information score
0.5996 ± 0.0376
Mean absolute error
0.1834 ± 0.0125
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7193 ± 0.0812
Per class
Predictive accuracy
0.7329 ± 0.0677
Prior entropy
1.9991 ± 0.0005
Recall
0.7329 ± 0.0677
Per class
Relative absolute error
0.4892 ± 0.0333
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.2924 ± 0.0218
Root relative squared error
0.6753 ± 0.0504
SciMark benchmark
1676.6751