DEVELOPMENT... OpenML
Run
136789

Run 136789

Task 3672 (Supervised Classification) kin8nm Uploaded 31-12-2014 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)_I160
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
0.7616
Per class
Build CPU time
0.1056
Build memory
694982225.7451
F measure
0.7616
Per class
Kappa
0.5231
KB relative information score
4284.2582
Mean absolute error
0.2384
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7616
Per class
Predictive accuracy
0.7616
Prior entropy
0.9998
Recall
0.7616
Per class
Relative absolute error
0.477
Root mean prior squared error
0.4999
Root mean squared error
0.4883
Root relative squared error
0.9767
SciMark benchmark
923.564

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