Run
503416

Run 503416

Task 10060 (Learning Curve) JapaneseVowels Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_S1

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
0.9884 ± 0.0025
Per class
F measure
0.9588 ± 0.0046
Per class
Kappa
0.8475 ± 0.0175
KB relative information score
6595.6091 ± 27.7526
Mean absolute error
0.0882 ± 0.0057
Mean prior absolute error
0.2716 ± 0.0003
Number of instances
9961
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9586 ± 0.0046
Per class
Predictive accuracy
0.9589 ± 0.0046
Prior entropy
0.6393
Recall
0.9589 ± 0.0046
Per class
Relative absolute error
0.3248 ± 0.0211
Root mean prior squared error
0.3685 ± 0.0005
Root mean squared error
0.18 ± 0.0082
Root relative squared error
0.4884 ± 0.0223
SciMark benchmark
1674.9818
UserCPU time millis
640
UserCPU time millis training
640