DEVELOPMENT... OpenML
Run
120945

Run 120945

Task 3676 (Supervised Classification) rmftsa_ctoarrivals Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9465
Per class
Build CPU time
4.8884
Build memory
965462220.697
F measure
0.9431
Per class
Kappa
0.8795
KB relative information score
231.5031
Mean absolute error
0.0564
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
0.9431
Per class
Predictive accuracy
0.9432
Prior entropy
0.9604
Recall
0.9432
Per class
Relative absolute error
0.1194
Root mean prior squared error
0.486
Root mean squared error
0.2366
Root relative squared error
0.4869
SciMark benchmark
902.712