DEVELOPMENT... OpenML
Run
109978

Run 109978

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.864
Per class
Build CPU time
0.1434
Build memory
88097122.5064
F measure
0.8542
Per class
Kappa
0.6831
KB relative information score
517.8929
Mean absolute error
0.1481
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
0.857
Per class
Predictive accuracy
0.8529
Prior entropy
0.9348
Recall
0.8529
Per class
Relative absolute error
0.3252
Root mean prior squared error
0.4771
Root mean squared error
0.3829
Root relative squared error
0.8027
SciMark benchmark
941.1411