Prediction performance of progression free survival as mean absolute error (MAE).</p
Univariate and multivariate analyses for prediction factors for disease-free survival.</p
Prognostic factors for progression-free survival after propensity score matching.</p
<p>Behavioral Prediction Based on Group Performance History in the Newcomer/No-Information Condition...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
Performance of the machine learning algorithms for survivability predictions.</p
<p>Univariate analysis: factors predicting overall and progression-free survival.</p
MSE ln(days) Train: Mean squared error in ln(days) in the training set. MSE days Train: Mean squared...
MSE ln(days) Train: Mean squared error in ln(days) in the training set. MSE days Train: Mean squared...
MSE ln(days) Train: Mean squared error in ln(days) in the training set. MSE days Train: Mean squared...
This was done only for the training years as the testing years were reserved to evaluate the perform...
<p>Mean absolute error (MAE; kcal·min<sup>-1</sup>) and Mean absolute percentage error of predicted ...
Performance comparison between multiple prediction strategies, for prediction of aromatase inhibitor...
<p>Prediction performance of leave-one-out cross-validation based on different encoding methods.</p
<p>Result based on EORTC for predicting progression free survival at 12 months (n = 12).</p
Univariate and multivariate analyses for prediction factors for disease-free survival.</p
Prognostic factors for progression-free survival after propensity score matching.</p
<p>Behavioral Prediction Based on Group Performance History in the Newcomer/No-Information Condition...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
Performance of the machine learning algorithms for survivability predictions.</p
<p>Univariate analysis: factors predicting overall and progression-free survival.</p
MSE ln(days) Train: Mean squared error in ln(days) in the training set. MSE days Train: Mean squared...
MSE ln(days) Train: Mean squared error in ln(days) in the training set. MSE days Train: Mean squared...
MSE ln(days) Train: Mean squared error in ln(days) in the training set. MSE days Train: Mean squared...
This was done only for the training years as the testing years were reserved to evaluate the perform...
<p>Mean absolute error (MAE; kcal·min<sup>-1</sup>) and Mean absolute percentage error of predicted ...
Performance comparison between multiple prediction strategies, for prediction of aromatase inhibitor...
<p>Prediction performance of leave-one-out cross-validation based on different encoding methods.</p
<p>Result based on EORTC for predicting progression free survival at 12 months (n = 12).</p
Univariate and multivariate analyses for prediction factors for disease-free survival.</p
Prognostic factors for progression-free survival after propensity score matching.</p
<p>Behavioral Prediction Based on Group Performance History in the Newcomer/No-Information Condition...
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