DEVELOPMENT... OpenML
Run
136186

Run 136186

Task 3653 (Supervised Classification) triazines 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)_I80
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
0.7982
Per class
Build CPU time
0.1456
Build memory
77071784.8602
F measure
0.7573
Per class
Kappa
0.4985
KB relative information score
92.4882
Mean absolute error
0.2415
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7569
Per class
Predictive accuracy
0.7581
Prior entropy
0.979
Recall
0.7581
Per class
Relative absolute error
0.4975
Root mean prior squared error
0.4925
Root mean squared error
0.4753
Root relative squared error
0.9649
SciMark benchmark
947.5446