DEVELOPMENT... OpenML
Run
132523

Run 132523

Task 3590 (Supervised Classification) analcatdata_vineyard Uploaded 27-12-2014 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
0.9451
Per class
Build CPU time
0.074
Build memory
540206016.4444
F measure
0.8547
Per class
Kappa
0.7058
KB relative information score
320.2683
Mean absolute error
0.1571
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8547
Per class
Predictive accuracy
0.8547
Prior entropy
0.9912
Recall
0.8547
Per class
Relative absolute error
0.318
Root mean prior squared error
0.4969
Root mean squared error
0.3247
Root relative squared error
0.6535
SciMark benchmark
920.6725