DEVELOPMENT... OpenML
Run
134930

Run 134930

Task 3602 (Supervised Classification) visualizing_environmental 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)_I20
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
0.6303
Per class
Build CPU time
0.0013
Build memory
2397609920.8649
F measure
0.6308
Per class
Kappa
0.2604
KB relative information score
28.7622
Mean absolute error
0.3694
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.631
Per class
Predictive accuracy
0.6306
Prior entropy
0.9986
Recall
0.6306
Per class
Relative absolute error
0.7402
Root mean prior squared error
0.4995
Root mean squared error
0.6078
Root relative squared error
1.2168
SciMark benchmark
939.084