DEVELOPMENT... OpenML
Run
118930

Run 118930

Task 3922 (Supervised Classification) desharnais Uploaded 10-12-2014 by Felicia West
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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
0.83
Per class
Build CPU time
0.0876
Build memory
87622979.0617
F measure
0.6896
Per class
Kappa
0.4605
KB relative information score
36.6947
Mean absolute error
0.2026
Mean prior absolute error
0.3804
Number of instances
81
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6856
Per class
Predictive accuracy
0.7037
Prior entropy
1.3765
Recall
0.7037
Per class
Relative absolute error
0.5326
Root mean prior squared error
0.4348
Root mean squared error
0.4322
Root relative squared error
0.994
SciMark benchmark
944.4197