DEVELOPMENT... OpenML
Run
117156

Run 117156

Task 3597 (Supervised Classification) baskball 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
0.7102
Per class
Build CPU time
0.2385
Build memory
540274932.3333
F measure
0.6978
Per class
Kappa
0.3964
KB relative information score
36.7898
Mean absolute error
0.3091
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6991
Per class
Predictive accuracy
0.6979
Prior entropy
0.9997
Recall
0.6979
Per class
Relative absolute error
0.6184
Root mean prior squared error
0.4999
Root mean squared error
0.5503
Root relative squared error
1.1008
SciMark benchmark
913.3372