Curves show calibration of (A) model 5 (poorly-calibrated) and (B) model 9 (well-calibrated) from Fig 1. Each semi-transparent dot represents a patient in a random sample of 2000 from the test set, the x-axis shows their risk of death at five years as predicted by the relevant model, and the y-axis shows whether each patient was in fact dead or alive at that time. The curves are smoothed calibration curves derived from these points, and the area between the calibration curve and the black line of perfect calibration is a in the calibration score, 1 − a.</p
<p>The X-axis and Y-axis represent the nomogram-predicted and actual survival probabilities, respect...
Observed mortality at each level of the score for the Calibration data set and for the Validation da...
Actual percentage of people with outcomes (and 95% CI) verse predicted percentage (and 95%CI) for al...
<p>The figure is a plot the predicted versus the observed recovery in the test dataset. The 45° line...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
The solid black line indicated perfect calibration, the blue dots indicated the actual model calibra...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
<p>The dotted line represents perfect calibration. The solid line is the calibration line, calibrati...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
Calibration curve of the final model in the elderly subset (≥ 75 years) of the validation cohort.</p
On the x-axis are the predicted probabilities and on the y-axis the observed probabilities. A perfec...
<p>Calibration plots between model-predicted and observed (LOESS smoothed) probabilities, for (a) en...
<p>The figure is a plot the predicted versus the observed recovery in the training dataset. The 45° ...
<p>Calibration of the model with the 5-hour mortality experiments (black-line). The average of exper...
Observed mortality (%) vs. predicted risk of mortality for all the classification algorithms under s...
<p>The X-axis and Y-axis represent the nomogram-predicted and actual survival probabilities, respect...
Observed mortality at each level of the score for the Calibration data set and for the Validation da...
Actual percentage of people with outcomes (and 95% CI) verse predicted percentage (and 95%CI) for al...
<p>The figure is a plot the predicted versus the observed recovery in the test dataset. The 45° line...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
The solid black line indicated perfect calibration, the blue dots indicated the actual model calibra...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
<p>The dotted line represents perfect calibration. The solid line is the calibration line, calibrati...
Prognostic models applied in medicine must be validated on independent samples, before their use can...
Calibration curve of the final model in the elderly subset (≥ 75 years) of the validation cohort.</p
On the x-axis are the predicted probabilities and on the y-axis the observed probabilities. A perfec...
<p>Calibration plots between model-predicted and observed (LOESS smoothed) probabilities, for (a) en...
<p>The figure is a plot the predicted versus the observed recovery in the training dataset. The 45° ...
<p>Calibration of the model with the 5-hour mortality experiments (black-line). The average of exper...
Observed mortality (%) vs. predicted risk of mortality for all the classification algorithms under s...
<p>The X-axis and Y-axis represent the nomogram-predicted and actual survival probabilities, respect...
Observed mortality at each level of the score for the Calibration data set and for the Validation da...
Actual percentage of people with outcomes (and 95% CI) verse predicted percentage (and 95%CI) for al...