DEVELOPMENT... OpenML
Run
131863

Run 131863

Task 3501 (Supervised Classification) white-clover 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
0.7665
Per class
Build CPU time
0.0209
Build memory
1193499586.4127
F measure
0.69
Per class
Kappa
0.4022
KB relative information score
14.109
Mean absolute error
0.2238
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7077
Per class
Predictive accuracy
0.7143
Prior entropy
1.4097
Recall
0.7143
Per class
Relative absolute error
0.8225
Root mean prior squared error
0.3647
Root mean squared error
0.3284
Root relative squared error
0.9006
SciMark benchmark
942.3945