DEVELOPMENT... OpenML
Run
116899

Run 116899

Task 40 (Supervised Classification) glass 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)_I80
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
0.8949
Per class
Build CPU time
2.9071
Build memory
896029694.6916
F measure
0.7602
Per class
Kappa
0.6768
KB relative information score
147.2449
Mean absolute error
0.0662
Mean prior absolute error
0.2116
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
0.7621
Per class
Predictive accuracy
0.7664
Prior entropy
2.2315
Recall
0.7664
Per class
Relative absolute error
0.3127
Root mean prior squared error
0.3244
Root mean squared error
0.2473
Root relative squared error
0.7621
SciMark benchmark
917.4547