DEVELOPMENT... OpenML
Run
118415

Run 118415

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)_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
0.8968
Per class
Build CPU time
0.3599
Build memory
235721157.4206
F measure
0.7185
Per class
Kappa
0.6313
KB relative information score
135.5967
Mean absolute error
0.0839
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
0.7144
Per class
Predictive accuracy
0.7336
Prior entropy
2.2315
Recall
0.7336
Per class
Relative absolute error
0.3965
Root mean prior squared error
0.3244
Root mean squared error
0.2447
Root relative squared error
0.7543
SciMark benchmark
942.3919