DEVELOPMENT... OpenML
Run
30811

Run 30811

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 13-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I80
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9903
Per class
Build CPU time
0.3231
Build memory
1020145879.3044
F measure
0.9501
Per class
Kappa
0.8904
KB relative information score
630.4382
Mean absolute error
0.0992
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
0.9501
Per class
Predictive accuracy
0.9501
Prior entropy
0.9348
Recall
0.9501
Per class
Relative absolute error
0.2178
Root mean prior squared error
0.4771
Root mean squared error
0.1837
Root relative squared error
0.3851
SciMark benchmark
944.9316