DEVELOPMENT... OpenML
Run
117357

Run 117357

Task 3921 (Supervised Classification) jEdit_4.0_4.2 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
0.7912
Per class
Build CPU time
1.3213
Build memory
266944524.3212
F measure
0.7445
Per class
Kappa
0.4893
KB relative information score
133.8854
Mean absolute error
0.2557
Mean prior absolute error
0.4998
Number of instances
274
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7452
Per class
Predictive accuracy
0.7445
Prior entropy
0.9997
Recall
0.7445
Per class
Relative absolute error
0.5116
Root mean prior squared error
0.4999
Root mean squared error
0.492
Root relative squared error
0.9842
SciMark benchmark
924.2473