DEVELOPMENT... OpenML
Run
117400

Run 117400

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)_I40
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
0.902
Per class
Build CPU time
1.3539
Build memory
197088762.9533
F measure
0.7629
Per class
Kappa
0.6847
KB relative information score
145.4344
Mean absolute error
0.0685
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
0.7647
Per class
Predictive accuracy
0.771
Prior entropy
2.2315
Recall
0.771
Per class
Relative absolute error
0.3238
Root mean prior squared error
0.3244
Root mean squared error
0.2462
Root relative squared error
0.7588
SciMark benchmark
924.2473