DEVELOPMENT... OpenML
Run
138826

Run 138826

Task 40 (Supervised Classification) glass Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I20
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.9032
Per class
Build CPU time
0.045
Build memory
1324229032.8224
F measure
0.7473
Per class
Kappa
0.6621
KB relative information score
144.3892
Mean absolute error
0.0802
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
0.752
Per class
Predictive accuracy
0.7523
Prior entropy
2.2315
Recall
0.7523
Per class
Relative absolute error
0.3792
Root mean prior squared error
0.3244
Root mean squared error
0.2299
Root relative squared error
0.7086
SciMark benchmark
939.8609