DEVELOPMENT... OpenML
Run
118927

Run 118927

Task 3917 (Supervised Classification) kc1 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
0.7685
Per class
Build CPU time
3.9594
Build memory
114791143.2072
F measure
0.826
Per class
Kappa
0.2645
KB relative information score
97.21
Mean absolute error
0.2048
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
0.8217
Per class
Predictive accuracy
0.8502
Prior entropy
0.622
Recall
0.8502
Per class
Relative absolute error
0.783
Root mean prior squared error
0.3615
Root mean squared error
0.3434
Root relative squared error
0.95
SciMark benchmark
944.4197