DEVELOPMENT... OpenML
Run
41030

Run 41030

Task 4544 (Supervised Classification) JapaneseVowels Uploaded 29-10-2014 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)_I80
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
0.9916
Per class
Build CPU time
70.0618
Build memory
990129322.7917
F measure
0.9878
Per class
Kappa
0.955
KB relative information score
94132.3238
Mean absolute error
0.0122
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
0.9878
Per class
Predictive accuracy
0.9879
Prior entropy
0.6393
Recall
0.9879
Per class
Relative absolute error
0.0449
Root mean prior squared error
0.3685
Root mean squared error
0.1063
Root relative squared error
0.2884
SciMark benchmark
941.8931