DEVELOPMENT... OpenML
Run
118187

Run 118187

Task 3676 (Supervised Classification) rmftsa_ctoarrivals 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)_I20
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
0.9769
Per class
Build CPU time
0.283
Build memory
267135164.5758
F measure
0.9471
Per class
Kappa
0.8882
KB relative information score
231.3839
Mean absolute error
0.0573
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9473
Per class
Predictive accuracy
0.947
Prior entropy
0.9604
Recall
0.947
Per class
Relative absolute error
0.1212
Root mean prior squared error
0.486
Root mean squared error
0.2314
Root relative squared error
0.4761
SciMark benchmark
944.4197