DEVELOPMENT... OpenML
Run
132117

Run 132117

Task 3809 (Supervised Classification) visualizing_ethanol 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)_I80
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
0.5605
Per class
Build CPU time
0.0214
Build memory
576851992.7273
F measure
0.5794
Per class
Kappa
0.1582
KB relative information score
6.4221
Mean absolute error
0.4684
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5794
Per class
Predictive accuracy
0.5795
Prior entropy
0.9996
Recall
0.5795
Per class
Relative absolute error
0.9373
Root mean prior squared error
0.4999
Root mean squared error
0.5698
Root relative squared error
1.1399
SciMark benchmark
940.5537