Wireless-N Portable Router. WNR1004 wireless router pdf manual download. WNR1012 repeater. WNR1012 user manual pdf download. Prolink WNR1009 Setup. WNR1012 user manual pdf download. How to set up PROLiNK WNR1012 wireless. Create and manage wireless networks. PROLiNK WNR1012 radio repeater.
View and Download PROLiNK WNR1012 quick installation manual online. 2G/3G/4G Wireless-N LTE MIMO AP/Router. WNR1012 wireless router pdf manual download.
PROLiNK WNR1012 setup manual. Prolink WNR1012 Setup Manual. WNR1012 instructions manual.. This table shows the average accuracy for all possible error combinations; the table gives the average accuracy of every error combination.
The accuracy of the email is always the same as the accuracy of the classified document as the email was classified with the same set of features as the document. Therefore, the feature selection method has no influence on the average accuracy of the email. The accuracy of the labels shows that the classification accuracy is not constant. In many cases it is significantly lower than the classification accuracy of the document. The label does not take into account the features used to classify the document. As the error vector has a direct influence on the label, this factor significantly contributes to the accuracy of the classification.
As can be seen from the table, all features have a non-zero influence on the accuracy of the document. The feature selection method has no influence on this result.
The results for the landline are similar. The accuracy of the landline is influenced by the error vector. In most cases, the error vector does not contribute much to the overall accuracy of the document. This means that the classification accuracy of the landline is independent of the feature selection method.
The landline is classified with the same features as the document. Therefore, the classification of the landline does not show the impact of the feature selection method.
In contrast to the other two cases, the accuracy of the fax machine is not significantly influenced by the error vector, the feature selection method or the classification itself.
Conclusion {#sec:conc}
==========
This paper introduces a feature selection method for the supervised classification of documents. We apply the method to two publicly available document classification tasks. The method does not make any be359ba680
Related links:
Comments