DEVELOPMENT... OpenML
Run
117376

Run 117376

Task 11 (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)_I40
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
0.9771
Per class
Build CPU time
0.9768
Build memory
272574622.2336
F measure
0.8607
Per class
Kappa
0.7639
KB relative information score
447.7734
Mean absolute error
0.1101
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8549
Per class
Predictive accuracy
0.8672
Prior entropy
1.3212
Recall
0.8672
Per class
Relative absolute error
0.2899
Root mean prior squared error
0.4356
Root mean squared error
0.2367
Root relative squared error
0.5435
SciMark benchmark
942.0692