DEVELOPMENT... OpenML
Run
135400

Run 135400

Task 2121 (Supervised Classification) abalone 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)_I40
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
0.551
Per class
Build CPU time
0.055
Build memory
777538936
F measure
0.196
Per class
Kappa
0.1013
KB relative information score
202.2857
Mean absolute error
0.0554
Mean prior absolute error
0.0618
Number of instances
1378
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1972
Per class
Predictive accuracy
0.1967
Prior entropy
3.6268
Recall
0.1967
Per class
Relative absolute error
0.8967
Root mean prior squared error
0.1757
Root mean squared error
0.2351
Root relative squared error
1.338
SciMark benchmark
935.6292