DEVELOPMENT... OpenML
Run
52885

Run 52885

Task 1702 (Learning Curve) kr-vs-kp 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
0.9994 ± 0.0005
Per class
Build CPU time
0.9897
Build memory
1244491505.2
F measure
0.9928 ± 0.0051
Per class
Kappa
0.9856 ± 0.0103
KB relative information score
0.9768 ± 0.0084
Mean absolute error
0.0127 ± 0.0041
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9928 ± 0.0051
Per class
Predictive accuracy
0.9928 ± 0.0051
Prior entropy
0.9986 ± 0.0002
Recall
0.9928 ± 0.0051
Per class
Relative absolute error
0.0254 ± 0.0081
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0811 ± 0.0254
Root relative squared error
0.1623 ± 0.0508
SciMark benchmark
1676.6751