Run
304053

Run 304053

Task 1721 (Learning Curve) mfeat-zernike Uploaded 18-03-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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
0.9521 ± 0.0085
Per class
F measure
0.728 ± 0.026
Per class
Kappa
0.6983 ± 0.0318
KB relative information score
0.7544 ± 0.0285
Mean absolute error
0.0539 ± 0.0056
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7284 ± 0.0229
Per class
Predictive accuracy
0.7285 ± 0.0286
Prior entropy
3.3219
Recall
0.7285 ± 0.0286
Per class
Relative absolute error
0.2996 ± 0.031
Root mean prior squared error
0.3
Root mean squared error
0.2044 ± 0.0121
Root relative squared error
0.6813 ± 0.0405
SciMark benchmark
1344.4203
UserCPU time millis
270
UserCPU time millis testing
250
UserCPU time millis training
20