Run
451130

Run 451130

Task 115 (Learning Curve) vowel Uploaded 19-05-2015 by Hans Bauer
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Flow

weka.PART(2)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(2)_C0.25
weka.PART(2)_M2
weka.PART(2)_Q1

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
0.9094 ± 0.0239
Per class
F measure
0.781 ± 0.0446
Per class
Kappa
0.759 ± 0.0484
KB relative information score
0.7681 ± 0.0445
Mean absolute error
0.0434 ± 0.0077
Mean prior absolute error
0.1653
Number of instances
9900
Per class
OS information
[Oracle Corporation, 1.8.0_31, amd64, Linux, 3.13.0-45-generic]
Precision
0.7812 ± 0.0429
Per class
Predictive accuracy
0.7809 ± 0.044
Prior entropy
3.4594
Recall
0.7809 ± 0.044
Per class
Relative absolute error
0.2626 ± 0.0464
Root mean prior squared error
0.2875
Root mean squared error
0.193 ± 0.0194
Root relative squared error
0.6713 ± 0.0675
SciMark benchmark
1809.4626
UserCPU time millis
80
UserCPU time millis training
80