Run
437262

Run 437262

Task 115 (Learning Curve) vowel Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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
0.932 ± 0.0163
Per class
F measure
0.762 ± 0.0414
Per class
Kappa
0.7397 ± 0.0445
KB relative information score
0.7711 ± 0.0349
Mean absolute error
0.0488 ± 0.0065
Mean prior absolute error
0.1653
Number of instances
9900
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7621 ± 0.0418
Per class
Predictive accuracy
0.7633 ± 0.0405
Prior entropy
3.4594
Recall
0.7633 ± 0.0405
Per class
Relative absolute error
0.2952 ± 0.0392
Root mean prior squared error
0.2875
Root mean squared error
0.1861 ± 0.0145
Root relative squared error
0.6475 ± 0.0505
SciMark benchmark
921.1883
UserCPU time millis
10
UserCPU time millis training
10