Run
304005

Run 304005

Task 94 (Learning Curve) dermatology Uploaded 18-03-2015 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_Standardize_NaiveBayes(1)Weka implementation of FilteredClassifier
weka.FilteredClassifier_Standardize_NaiveBayes(1)_Wweka.classifiers.bayes.NaiveBayes

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
0.9993 ± 0.0016
Per class
F measure
0.9748 ± 0.0272
Per class
Kappa
0.9682 ± 0.0338
KB relative information score
0.9708 ± 0.0244
Mean absolute error
0.0104 ± 0.0072
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9758 ± 0.023
Per class
Predictive accuracy
0.9746 ± 0.027
Prior entropy
2.4327 ± 0.0089
Recall
0.9746 ± 0.027
Per class
Relative absolute error
0.0389 ± 0.0272
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.0732 ± 0.0383
Root relative squared error
0.2006 ± 0.1051
SciMark benchmark
1340.2843
UserCPU time millis
10
UserCPU time millis testing
10