DEVELOPMENT... OpenML
Run
119567

Run 119567

Task 270 (Supervised Classification) glass Uploaded 10-12-2014 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)_I10
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
0.9082
Per class
Build CPU time
3.638
Build memory
213212968
F measure
0.7429
Per class
Kappa
0.6539
KB relative information score
49.6058
Mean absolute error
0.0736
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7602
Per class
Predictive accuracy
0.7429
Prior entropy
2.2315
Recall
0.7429
Per class
Relative absolute error
0.3462
Root mean prior squared error
0.3261
Root mean squared error
0.2521
Root relative squared error
0.7729
SciMark benchmark
913.3372