DEVELOPMENT... OpenML
Run
135375

Run 135375

Task 1819 (Supervised Classification) vote Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9709
Per class
Build CPU time
0.0142
Build memory
2845133860.1416
F measure
0.9382
Per class
Kappa
0.8702
KB relative information score
1881.8567
Mean absolute error
0.063
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.939
Per class
Predictive accuracy
0.9379
Prior entropy
0.9627
Recall
0.9379
Per class
Relative absolute error
0.1328
Root mean prior squared error
0.4869
Root mean squared error
0.2338
Root relative squared error
0.4803
SciMark benchmark
946.9091