DEVELOPMENT... OpenML
Run
35621

Run 35621

Task 3650 (Supervised Classification) wind_correlations 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)_I10
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
0.9437
Per class
Build CPU time
0.0051
Build memory
390552508.4444
F measure
0.8888
Per class
Kappa
0.7774
KB relative information score
33.2199
Mean absolute error
0.1385
Mean prior absolute error
0.4998
Number of instances
45
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8896
Per class
Predictive accuracy
0.8889
Prior entropy
0.9997
Recall
0.8889
Per class
Relative absolute error
0.2771
Root mean prior squared error
0.4999
Root mean squared error
0.2902
Root relative squared error
0.5804
SciMark benchmark
942.0655