Run
304150

Run 304150

Task 77 (Learning Curve) mfeat-morphological Uploaded 18-03-2015 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
0.947 ± 0.0086
Per class
F measure
0.6902 ± 0.023
Per class
Kappa
0.6704 ± 0.0268
KB relative information score
0.7301 ± 0.0161
Mean absolute error
0.0719 ± 0.0027
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6973 ± 0.0329
Per class
Predictive accuracy
0.7034 ± 0.0241
Prior entropy
3.3219
Recall
0.7034 ± 0.0241
Per class
Relative absolute error
0.3996 ± 0.0152
Root mean prior squared error
0.3
Root mean squared error
0.1963 ± 0.0065
Root relative squared error
0.6544 ± 0.0217
SciMark benchmark
1328.1294
UserCPU time millis
10
UserCPU time millis training
10