DEVELOPMENT... OpenML
Run
117205

Run 117205

Task 3689 (Supervised Classification) fri_c1_500_10 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)_I80
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
0.9459
Per class
Build CPU time
3.3693
Build memory
802627418.4
F measure
0.91
Per class
Kappa
0.8184
KB relative information score
411.0085
Mean absolute error
0.0875
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.91
Per class
Predictive accuracy
0.91
Prior entropy
0.9934
Recall
0.91
Per class
Relative absolute error
0.1767
Root mean prior squared error
0.4977
Root mean squared error
0.292
Root relative squared error
0.5866
SciMark benchmark
939.521