DEVELOPMENT... OpenML
Run
44810

Run 44810

Task 4544 (Supervised Classification) JapaneseVowels Uploaded 30-10-2014 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)_I160
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
0.9923
Per class
Build CPU time
138.5073
Build memory
2403836488.9744
F measure
0.9909
Per class
Kappa
0.9666
KB relative information score
95534.5866
Mean absolute error
0.0091
Mean prior absolute error
0.2716
Number of instances
99610
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9909
Per class
Predictive accuracy
0.991
Prior entropy
0.6393
Recall
0.991
Per class
Relative absolute error
0.0334
Root mean prior squared error
0.3685
Root mean squared error
0.0923
Root relative squared error
0.2505
SciMark benchmark
941.2906

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