DEVELOPMENT... OpenML
Run
134927

Run 134927

Task 3597 (Supervised Classification) baskball 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
0.6359
Per class
Build CPU time
0.0009
Build memory
2323399744.3333
F measure
0.6353
Per class
Kappa
0.2715
KB relative information score
25.9567
Mean absolute error
0.3646
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6364
Per class
Predictive accuracy
0.6354
Prior entropy
0.9997
Recall
0.6354
Per class
Relative absolute error
0.7295
Root mean prior squared error
0.4999
Root mean squared error
0.6038
Root relative squared error
1.2079
SciMark benchmark
939.084