DEVELOPMENT... OpenML
Run
135113

Run 135113

Task 3807 (Supervised Classification) echoMonths 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
0.7237
Per class
Build CPU time
0.001
Build memory
2386622084.8
F measure
0.7073
Per class
Kappa
0.4147
KB relative information score
53.3207
Mean absolute error
0.2954
Mean prior absolute error
0.4999
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7082
Per class
Predictive accuracy
0.7077
Prior entropy
0.9998
Recall
0.7077
Per class
Relative absolute error
0.5909
Root mean prior squared error
0.4999
Root mean squared error
0.5271
Root relative squared error
1.0544
SciMark benchmark
939.084