Run
503062

Run 503062

Task 1742 (Learning Curve) spambase Uploaded 22-12-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.BayesNet_K2(19)Weka implementation of BayesNet
weka.BayesNet_K2(19)_Dtrue
weka.BayesNet_K2(19)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(9)_P1
weka.K2(9)_SBAYES

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
0.9627 ± 0.0053
Per class
F measure
0.898 ± 0.0155
Per class
Kappa
0.7852 ± 0.0326
KB relative information score
3593.9896 ± 14.635
Mean absolute error
0.103 ± 0.0146
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8988 ± 0.0162
Per class
Predictive accuracy
0.8987 ± 0.0155
Prior entropy
0.9674
Recall
0.8987 ± 0.0155
Per class
Relative absolute error
0.2158 ± 0.0305
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2991 ± 0.0238
Root relative squared error
0.6121 ± 0.0489
SciMark benchmark
1676.5109
UserCPU time millis
80
UserCPU time millis testing
30
UserCPU time millis training
50