DEVELOPMENT... OpenML
Run
117263

Run 117263

Task 3765 (Supervised Classification) sleuth_case2002 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
0.604
Per class
Build CPU time
0.3918
Build memory
1424233973.0068
F measure
0.5985
Per class
Kappa
0.1936
KB relative information score
28.277
Mean absolute error
0.4029
Mean prior absolute error
0.4982
Number of instances
147
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5983
Per class
Predictive accuracy
0.5986
Prior entropy
0.9974
Recall
0.5986
Per class
Relative absolute error
0.8089
Root mean prior squared error
0.4991
Root mean squared error
0.6035
Root relative squared error
1.2092
SciMark benchmark
890.3066