DEVELOPMENT... OpenML
Run
134060

Run 134060

Task 40 (Supervised Classification) glass Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_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
0.7725
Per class
Build CPU time
0.0025
Build memory
511549111.4019
F measure
0.6726
Per class
Kappa
0.5538
KB relative information score
124.1985
Mean absolute error
0.0935
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
0.674
Per class
Predictive accuracy
0.6729
Prior entropy
2.2315
Recall
0.6729
Per class
Relative absolute error
0.4417
Root mean prior squared error
0.3244
Root mean squared error
0.3057
Root relative squared error
0.9422
SciMark benchmark
939.084