DEVELOPMENT... OpenML
Run
136218

Run 136218

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 31-12-2014 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)_I80
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
0.966
Per class
Build CPU time
0.0039
Build memory
93448129.3095
F measure
0.915
Per class
Kappa
0.8151
KB relative information score
633.3728
Mean absolute error
0.0837
Mean prior absolute error
0.4553
Number of instances
782
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9171
Per class
Predictive accuracy
0.9143
Prior entropy
0.9348
Recall
0.9143
Per class
Relative absolute error
0.1839
Root mean prior squared error
0.4771
Root mean squared error
0.2341
Root relative squared error
0.4907
SciMark benchmark
926.507