DEVELOPMENT... OpenML
Run
52896

Run 52896

Task 1730 (Learning Curve) credit-g 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
0.7531 ± 0.0427
Per class
Build CPU time
0.8672
Build memory
508840092.6222
F measure
0.7302 ± 0.0367
Per class
Kappa
0.3408 ± 0.089
KB relative information score
0.2453 ± 0.075
Mean absolute error
0.3042 ± 0.0281
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.727 ± 0.0386
Per class
Predictive accuracy
0.74 ± 0.0362
Prior entropy
0.8813
Recall
0.74 ± 0.0362
Per class
Relative absolute error
0.724 ± 0.0669
Root mean prior squared error
0.4583
Root mean squared error
0.4363 ± 0.0279
Root relative squared error
0.9522 ± 0.061
SciMark benchmark
1132.5492