DEVELOPMENT... OpenML
Run
117497

Run 117497

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)_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
0.9541
Per class
Build CPU time
0.2086
Build memory
339001090.9683
F measure
0.9416
Per class
Kappa
0.8768
KB relative information score
1892.6485
Mean absolute error
0.061
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
0.9416
Per class
Predictive accuracy
0.9416
Prior entropy
0.9627
Recall
0.9416
Per class
Relative absolute error
0.1286
Root mean prior squared error
0.4869
Root mean squared error
0.2291
Root relative squared error
0.4706
SciMark benchmark
924.6733