DEVELOPMENT... OpenML
Run
120107

Run 120107

Task 3481 (Supervised Classification) isolet 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
0.971
Per class
Build CPU time
4419.0757
Build memory
1384799907.8682
F measure
0.6986
Per class
Kappa
0.6929
KB relative information score
1786.307
Mean absolute error
0.0702
Mean prior absolute error
0.074
Number of instances
7797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7103
Per class
Predictive accuracy
0.7048
Prior entropy
4.7004
Recall
0.7048
Per class
Relative absolute error
0.949
Root mean prior squared error
0.1923
Root mean squared error
0.1827
Root relative squared error
0.95
SciMark benchmark
932.084