DEVELOPMENT... OpenML
Run
117011

Run 117011

Task 1819 (Supervised Classification) vote 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
0.9534
Per class
Build CPU time
0.3408
Build memory
59865974.1131
F measure
0.9411
Per class
Kappa
0.8759
KB relative information score
1891.2037
Mean absolute error
0.0612
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9411
Per class
Predictive accuracy
0.9411
Prior entropy
0.9627
Recall
0.9411
Per class
Relative absolute error
0.1292
Root mean prior squared error
0.4869
Root mean squared error
0.2301
Root relative squared error
0.4726
SciMark benchmark
919.5971