DEVELOPMENT... OpenML
Run
132781

Run 132781

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.4596
Per class
Build CPU time
4.7454
Build memory
690959126.7051
F measure
0.6804
Per class
Kappa
-0.1036
KB relative information score
-191.955
Mean absolute error
0.3226
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6492
Per class
Predictive accuracy
0.7177
Prior entropy
0.7123
Recall
0.7177
Per class
Relative absolute error
1.028
Root mean prior squared error
0.3958
Root mean squared error
0.4739
Root relative squared error
1.1974
SciMark benchmark
945.5885

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