DEVELOPMENT... OpenML
Run
135170

Run 135170

Task 3868 (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)_I20
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
0.7377
Per class
Build CPU time
0.0027
Build memory
2349842739.9252
F measure
0.7577
Per class
Kappa
0.4726
KB relative information score
96.2047
Mean absolute error
0.243
Mean prior absolute error
0.4584
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
0.7585
Per class
Predictive accuracy
0.757
Prior entropy
0.9397
Recall
0.757
Per class
Relative absolute error
0.5301
Root mean prior squared error
0.4786
Root mean squared error
0.4929
Root relative squared error
1.0301
SciMark benchmark
946.9091