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 = ±log(1.75).</p
In genomic studies, thousands of features are collected on relatively few samples. One of the goals ...
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>A: prediction results and error range in the D14_ALP model. B: Prediction results and error range...
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...
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...
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>When <i>ε</i> is 0.2, the average absolute error is 0.0456; when <i>ε</i> is 0.3, the average abs...
Performance assessment of prediction model based on different criteria; (a) comparison of statistica...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>The differences in the prediction errors are plotted as squares, where a negative value denotes b...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
<p>The prediction accuracy of different <i>D</i><sub>2</sub> and <i>D</i><sub>3</sub>.</p
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
In genomic studies, thousands of features are collected on relatively few samples. One of the goals ...
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>A: prediction results and error range in the D14_ALP model. B: Prediction results and error range...
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...
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...
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>When <i>ε</i> is 0.2, the average absolute error is 0.0456; when <i>ε</i> is 0.3, the average abs...
Performance assessment of prediction model based on different criteria; (a) comparison of statistica...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>The differences in the prediction errors are plotted as squares, where a negative value denotes b...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
<p>The prediction accuracy of different <i>D</i><sub>2</sub> and <i>D</i><sub>3</sub>.</p
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
In genomic studies, thousands of features are collected on relatively few samples. One of the goals ...
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>A: prediction results and error range in the D14_ALP model. B: Prediction results and error range...
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