DEVELOPMENT... OpenML
Run
144399

Run 144399

Task 3704 (Supervised Classification) kdd_el_nino-small Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

22 Evaluation measures

Area under ROC curve
0.984
Per class
F measure
0.932
Per class
Kappa
0.8502
KB relative information score
665.2825
Mean absolute error
0.0657
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
0.932
Per class
Predictive accuracy
0.9322
Prior entropy
0.9348
Recall
0.9322
Per class
Relative absolute error
0.1442
Root mean prior squared error
0.4771
Root mean squared error
0.2327
Root relative squared error
0.4878
SciMark benchmark
902.4773
UserCPU time millis
260
UserCPU time millis training
260