DEVELOPMENT... OpenML
Run
133508

Run 133508

Task 266 (Supervised Classification) segment 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)_I10
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
0.999
Per class
Build CPU time
0.668
Build memory
2139888760
F measure
0.9671
Per class
Kappa
0.9617
KB relative information score
722.4457
Mean absolute error
0.0209
Mean prior absolute error
0.2449
Number of instances
762
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9674
Per class
Predictive accuracy
0.9672
Prior entropy
2.8074
Recall
0.9672
Per class
Relative absolute error
0.0852
Root mean prior squared error
0.3499
Root mean squared error
0.0849
Root relative squared error
0.2425
SciMark benchmark
943.8094