<p>Raw results from RDP classifier were filtered with different confidence thresholds by a Python script, and then compared with the other two methods through another script. The percentages of consistently classified tags were increased with more strict thresholds, while the solely classified tags showed the opposite trend.</p
<p>RDP's bootstrap performs the best for being able to discriminate between reads from known and nov...
Contains fulltext : 77313.pdf (publisher's version ) (Open Access)We address the p...
<p>Phobius and Philius protein type classification performance on the development set: for each prot...
a<p>Twenty-five genera accounted over 0.1% average abundance determined by all three methods were li...
This package installs and interfaces the naive Bayesian classifier for 16S rRNA se-quences developed...
The goal of defining an applicability domain for a predictive classification model is to identify th...
<p>Classification accuracy of MLPD and SLPD with respect to different predefined threshold .</p
Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (an...
: Optimal performance is desired for decision-making in any field with binary classifiers and diagno...
<p>Percentage of parameter configurations where the classifier in row had an higher accuracy than t...
<p>Numbers of informative characters, consistency index (CI) and tree length refer to parsimony infe...
<p>Performance of RES method for different domain binding peptide classes on respective unbalanced d...
<p>Agreement between user and DETECT labeling is measured in total seconds of the data for dataset D...
<p>Semi-supervised learning results for varying sizes of the initial training set (different number ...
<p>Percentages of sequence reads, which were unassigned at the genus level using an RDP bootstrap sc...
<p>RDP's bootstrap performs the best for being able to discriminate between reads from known and nov...
Contains fulltext : 77313.pdf (publisher's version ) (Open Access)We address the p...
<p>Phobius and Philius protein type classification performance on the development set: for each prot...
a<p>Twenty-five genera accounted over 0.1% average abundance determined by all three methods were li...
This package installs and interfaces the naive Bayesian classifier for 16S rRNA se-quences developed...
The goal of defining an applicability domain for a predictive classification model is to identify th...
<p>Classification accuracy of MLPD and SLPD with respect to different predefined threshold .</p
Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (an...
: Optimal performance is desired for decision-making in any field with binary classifiers and diagno...
<p>Percentage of parameter configurations where the classifier in row had an higher accuracy than t...
<p>Numbers of informative characters, consistency index (CI) and tree length refer to parsimony infe...
<p>Performance of RES method for different domain binding peptide classes on respective unbalanced d...
<p>Agreement between user and DETECT labeling is measured in total seconds of the data for dataset D...
<p>Semi-supervised learning results for varying sizes of the initial training set (different number ...
<p>Percentages of sequence reads, which were unassigned at the genus level using an RDP bootstrap sc...
<p>RDP's bootstrap performs the best for being able to discriminate between reads from known and nov...
Contains fulltext : 77313.pdf (publisher's version ) (Open Access)We address the p...
<p>Phobius and Philius protein type classification performance on the development set: for each prot...