Run
304153

Run 304153

Task 86 (Learning Curve) colic 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
0.8078 ± 0.07
Per class
F measure
0.8478 ± 0.0572
Per class
Kappa
0.6688 ± 0.124
KB relative information score
0.5134 ± 0.0872
Mean absolute error
0.2436 ± 0.0356
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8525 ± 0.052
Per class
Predictive accuracy
0.8514 ± 0.0522
Prior entropy
0.9503 ± 0.0087
Recall
0.8514 ± 0.0522
Per class
Relative absolute error
0.5225 ± 0.0761
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.3581 ± 0.0556
Root relative squared error
0.742 ± 0.1148
SciMark benchmark
1328.1294
UserCPU time millis
10
UserCPU time millis training
10