<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted with caution. They were not used for model selection. Estimates are arranged by coefficient magnitude in descending order (see text). L – latent, K – known print, LxK – interaction.</p
<p>Accuracy and F<sub>1</sub> score achieved by the final MLP model when predicting the activity ove...
<p>Accuracy values at different m values for participants K3, K6 and L1. The mean accuracy value pea...
© 2016, The Author(s). We assessed the ability of several penalized regression methods for linear an...
<p>Note: *** p<0.001, ** p<0.01. Estimates are arranged by coefficient magnitude in descending order...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. Estimates are arranged by coefficient magnitude in de...
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
A: α = 0.3; β = ±log(1.5). B: α = 0.3; β = ±log(1.75). C: α = 0.5; β = ±log(1.5). D: α = 0.5; β = ±l...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>A model depending on algorithm, drug and panel is trained, used for prediction on a test set and ...
A simple and intuitive measure of model fit is the proportion P of potential crime locations with a ...
<p>Each plot shows the predicted (x-axis) versus the actual (y-axis) across several different mode...
Assessing the accuracy of predictive models is critical because predictive models have been increasi...
<p>Accuracy and F<sub>1</sub> score achieved by the final MLP model when predicting the activity ove...
<p>Accuracy values at different m values for participants K3, K6 and L1. The mean accuracy value pea...
© 2016, The Author(s). We assessed the ability of several penalized regression methods for linear an...
<p>Note: *** p<0.001, ** p<0.01. Estimates are arranged by coefficient magnitude in descending order...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. Estimates are arranged by coefficient magnitude in de...
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
A: α = 0.3; β = ±log(1.5). B: α = 0.3; β = ±log(1.75). C: α = 0.5; β = ±log(1.5). D: α = 0.5; β = ±l...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>A model depending on algorithm, drug and panel is trained, used for prediction on a test set and ...
A simple and intuitive measure of model fit is the proportion P of potential crime locations with a ...
<p>Each plot shows the predicted (x-axis) versus the actual (y-axis) across several different mode...
Assessing the accuracy of predictive models is critical because predictive models have been increasi...
<p>Accuracy and F<sub>1</sub> score achieved by the final MLP model when predicting the activity ove...
<p>Accuracy values at different m values for participants K3, K6 and L1. The mean accuracy value pea...
© 2016, The Author(s). We assessed the ability of several penalized regression methods for linear an...