DEVELOPMENT... OpenML
Run
39658

Run 39658

Task 4544 (Supervised Classification) JapaneseVowels Uploaded 28-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I40
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
0.9908
Per class
Build CPU time
35.3855
Build memory
888632841.52
F measure
0.9833
Per class
Kappa
0.9381
KB relative information score
92132.0992
Mean absolute error
0.0167
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
0.9832
Per class
Predictive accuracy
0.9834
Prior entropy
0.6393
Recall
0.9834
Per class
Relative absolute error
0.0613
Root mean prior squared error
0.3685
Root mean squared error
0.1237
Root relative squared error
0.3356
SciMark benchmark
909.9339