DEVELOPMENT... OpenML
Run
116870

Run 116870

Task 3917 (Supervised Classification) kc1 Uploaded 09-12-2014 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)_I160
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
0.773
Per class
Build CPU time
59.2043
Build memory
418235991.0934
F measure
0.8379
Per class
Kappa
0.3373
KB relative information score
481.2532
Mean absolute error
0.166
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.832
Per class
Predictive accuracy
0.8511
Prior entropy
0.622
Recall
0.8511
Per class
Relative absolute error
0.6345
Root mean prior squared error
0.3615
Root mean squared error
0.3492
Root relative squared error
0.9659
SciMark benchmark
920.2874