DEVELOPMENT... OpenML
Run
132391

Run 132391

Task 2075 (Supervised Classification) abalone Uploaded 26-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I40
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.7338
Per class
Build CPU time
3.766
Build memory
965274911.8123
F measure
0.2352
Per class
Kappa
0.146
KB relative information score
1046.738
Mean absolute error
0.0555
Mean prior absolute error
0.0618
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2292
Per class
Predictive accuracy
0.2456
Prior entropy
3.6268
Recall
0.2456
Per class
Relative absolute error
0.8974
Root mean prior squared error
0.1757
Root mean squared error
0.1717
Root relative squared error
0.977
SciMark benchmark
940.5537