<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
Overall performance and calibration of the prediction models (quantitative approach).</p
Comparisons of predictive accuracy with existing FS measures [29, 37, 39, 48].</p
<p>TP = True positives, FP = False positives, Precision = TP/(TP+FP),</p><p> </p
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>The prediction accuracy of different <i>D</i><sub>2</sub> and <i>D</i><sub>3</sub>.</p
Performance assessment of prediction model based on different criteria; (a) comparison of statistica...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
Accuracy difference of prediction in different periods among single model and TV-DMA model.</p
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>We show the prediction accuracy (that is, the fraction of correct rating predictions) as a functi...
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>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>We trained the models with equal training sample sizes (<i>N</i><sub>1</sub> = <i>N</i><sub>2</su...
<p>Lower ΔAIC values indicate better model fits (best model = 0). ΔAIC <2 indicates substantial supp...
Overall performance and calibration of the prediction models (quantitative approach).</p
Comparisons of predictive accuracy with existing FS measures [29, 37, 39, 48].</p
<p>TP = True positives, FP = False positives, Precision = TP/(TP+FP),</p><p> </p
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>The prediction accuracy of different <i>D</i><sub>2</sub> and <i>D</i><sub>3</sub>.</p
Performance assessment of prediction model based on different criteria; (a) comparison of statistica...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
Accuracy difference of prediction in different periods among single model and TV-DMA model.</p
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>We show the prediction accuracy (that is, the fraction of correct rating predictions) as a functi...
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>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>We trained the models with equal training sample sizes (<i>N</i><sub>1</sub> = <i>N</i><sub>2</su...
<p>Lower ΔAIC values indicate better model fits (best model = 0). ΔAIC <2 indicates substantial supp...
Overall performance and calibration of the prediction models (quantitative approach).</p
Comparisons of predictive accuracy with existing FS measures [29, 37, 39, 48].</p
<p>TP = True positives, FP = False positives, Precision = TP/(TP+FP),</p><p> </p
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