DEVELOPMENT... OpenML
Run
122215

Run 122215

Task 3868 (Supervised Classification) glass Uploaded 13-12-2014 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)_I160
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
0.8369
Per class
Build CPU time
14.9798
Build memory
140881447.1776
F measure
0.8332
Per class
Kappa
0.6309
KB relative information score
134.5077
Mean absolute error
0.1635
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8349
Per class
Predictive accuracy
0.8364
Prior entropy
0.9397
Recall
0.8364
Per class
Relative absolute error
0.3567
Root mean prior squared error
0.4786
Root mean squared error
0.4009
Root relative squared error
0.8378
SciMark benchmark
925.481

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