DEVELOPMENT... OpenML
Run
135067

Run 135067

Task 3756 (Supervised Classification) visualizing_hamster 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
0.7708
Per class
Build CPU time
0.0013
Build memory
2407332843.3973
F measure
0.7775
Per class
Kappa
0.5504
KB relative information score
40.5687
Mean absolute error
0.2192
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7853
Per class
Predictive accuracy
0.7808
Prior entropy
0.9937
Recall
0.7808
Per class
Relative absolute error
0.4423
Root mean prior squared error
0.4977
Root mean squared error
0.4682
Root relative squared error
0.9407
SciMark benchmark
939.084