DEVELOPMENT... OpenML
Run
165013

Run 165013

Task 3510 (Supervised Classification) JapaneseVowels Uploaded 17-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I160
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.6953
Per class
F measure
0.1122
Per class
Kappa
0.1414
KB relative information score
2127.9154
Mean absolute error
0.1812
Mean prior absolute error
0.1962
Number of instances
9961
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0719
Per class
Predictive accuracy
0.2595
Prior entropy
3.1321
Recall
0.2595
Per class
Relative absolute error
0.9238
Root mean prior squared error
0.3132
Root mean squared error
0.3011
Root relative squared error
0.9613
SciMark benchmark
940.2922
UserCPU time millis
110
UserCPU time millis testing
20
UserCPU time millis training
90