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Using the mRMR-IFS method, our predictor achieved the best performance (86.62% accuracy and 0.737 Matthews correlation coefficient).
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b Difference between our predictor and other two methods.
b Difference between our predictor and other two methods Fig. 6 The standard deviations of the prediction errors and the differences of different prediction methods.
Application of our method to the predictor variables of a previous study on rhabdomyolysis shows that it can be used to make probability profile tables that are applicable to the diagnosis or prognosis of individual patient status.
The proteins were considered as secreted if they were predicted as such by at least three of four methods (our method described above, and three online predictors).
Least Angle Regression is a penalized regression method where predictor variables are included sequentially in the model [ 13].
The AUC were 0.782, 0.843 and 0.855 for the BindN, Ho's method and RF predictor, respectively (Fig. 2B), indicating that our RF model achieves the best performance.
The new method, MD Meta-Disorderr predictor), significantly outperformed each of its constituents on average and in our tests also topped commonly used top-of-the-line methods such as RONN, IUPred and the VSL2 series of prediction methods.
At multivariate analysis, our method remained an independent predictor of outcome (P=0.001).
Our method is a binary predictor without a variable cut-off parameter and thus no precision/recall curve can be produced.
The performance of this method for identifying predictor variables has not been examined.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com