DEVELOPMENT... OpenML
Run
118493

Run 118493

Task 1775 (Supervised Classification) balance-scale 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
0.9621
Per class
Build CPU time
0.1666
Build memory
204236634.1222
F measure
0.8454
Per class
Kappa
0.7347
KB relative information score
2063.0273
Mean absolute error
0.1262
Mean prior absolute error
0.3798
Number of instances
3125
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8409
Per class
Predictive accuracy
0.8506
Prior entropy
1.3212
Recall
0.8506
Per class
Relative absolute error
0.3322
Root mean prior squared error
0.4356
Root mean squared error
0.2605
Root relative squared error
0.5981
SciMark benchmark
937.6343

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