DEVELOPMENT... OpenML
Run
132350

Run 132350

Task 1787 (Supervised Classification) cmc 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
0.6573
Per class
Build CPU time
3.1544
Build memory
2644754949.4713
F measure
0.5077
Per class
Kappa
0.2359
KB relative information score
2190.7955
Mean absolute error
0.3266
Mean prior absolute error
0.4308
Number of instances
7365
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.5062
Per class
Predictive accuracy
0.5103
Prior entropy
1.5392
Recall
0.5103
Per class
Relative absolute error
0.758
Root mean prior squared error
0.4641
Root mean squared error
0.5555
Root relative squared error
1.1969
SciMark benchmark
872.1114