Iteratively, the following group is obtained by taking out the feature with the smallest absolute Beta value.</p
<p>Logistic regression model to assess the predictive power of EuroSCORE I levels.</p
<p>For each combination and metric, the mean and standard deviation values are shown. The best perfo...
<p>Results of univariable logistic regression analysis of variables tested for associations with LGA...
Mean (standard deviation) is reported for the performance metrics. Previous results using 51 pairs [...
Performance metrics for the logistic regression models predicting breast cancerb'*'.</p
For predicting behavior at Base (A) and Chow (D) two features are sufficient to achieve maximal perf...
<p>Univariable logistic regression analysis for the discrimination between the lowest tertile vs. th...
<p>Univariate logistic regression analysis for the criterion “self-testing” and each single predicto...
Logistic regression examining odds of being in class 1 of latent class analysis, stratified by basel...
Performance metrics of the prediction models using logistic regression and random forest methods wit...
<p>Performance, expressed in percentages, of the four approaches presented in this study. NB1 and LR...
F-beta was calculated as a measure of classification accuracy. See S1 Table in S1 File for optimal h...
<p>Logistic regression results (training group) based on 1000 bootstrap samples.</p
<p>Learning curve for L1-regularized logistic regression in the case of unigrams with IDF transforma...
<p>(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best va...
<p>Logistic regression model to assess the predictive power of EuroSCORE I levels.</p
<p>For each combination and metric, the mean and standard deviation values are shown. The best perfo...
<p>Results of univariable logistic regression analysis of variables tested for associations with LGA...
Mean (standard deviation) is reported for the performance metrics. Previous results using 51 pairs [...
Performance metrics for the logistic regression models predicting breast cancerb'*'.</p
For predicting behavior at Base (A) and Chow (D) two features are sufficient to achieve maximal perf...
<p>Univariable logistic regression analysis for the discrimination between the lowest tertile vs. th...
<p>Univariate logistic regression analysis for the criterion “self-testing” and each single predicto...
Logistic regression examining odds of being in class 1 of latent class analysis, stratified by basel...
Performance metrics of the prediction models using logistic regression and random forest methods wit...
<p>Performance, expressed in percentages, of the four approaches presented in this study. NB1 and LR...
F-beta was calculated as a measure of classification accuracy. See S1 Table in S1 File for optimal h...
<p>Logistic regression results (training group) based on 1000 bootstrap samples.</p
<p>Learning curve for L1-regularized logistic regression in the case of unigrams with IDF transforma...
<p>(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best va...
<p>Logistic regression model to assess the predictive power of EuroSCORE I levels.</p
<p>For each combination and metric, the mean and standard deviation values are shown. The best perfo...
<p>Results of univariable logistic regression analysis of variables tested for associations with LGA...