DEVELOPMENT... OpenML
Run
118728

Run 118728

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)_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
0.9835
Per class
Build CPU time
0.1652
Build memory
226337639.697
F measure
0.951
Per class
Kappa
0.8967
KB relative information score
233.9966
Mean absolute error
0.0528
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
0.9519
Per class
Predictive accuracy
0.9508
Prior entropy
0.9604
Recall
0.9508
Per class
Relative absolute error
0.1116
Root mean prior squared error
0.486
Root mean squared error
0.2158
Root relative squared error
0.444
SciMark benchmark
939.6298

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