DEVELOPMENT... OpenML
Run
37227

Run 37227

Task 4409 (Supervised Classification) kdd_el_nino-small Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_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.

21 Evaluation measures

Area under ROC curve
0.9725
Per class
Build CPU time
0.4914
Build memory
916036782.6987
F measure
0.942
Per class
Kappa
0.8726
KB relative information score
6766.3428
Mean absolute error
0.059
Mean prior absolute error
0.4553
Number of instances
7820
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.942
Per class
Predictive accuracy
0.9421
Prior entropy
0.9348
Recall
0.9421
Per class
Relative absolute error
0.1297
Root mean prior squared error
0.4771
Root mean squared error
0.2344
Root relative squared error
0.4913
SciMark benchmark
943.1654