<p>A model depending on algorithm, drug and panel is trained, used for prediction on a test set and the prediction results are evaluated by a metric. The same is done with a null model. Comparing the two evaluations results in an empirical p-value.</p
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
(A) A scatter plot showing the predicted response (y-axis) of the machine learning model plotted aga...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>Predictive validity of model parameters: (a) Perceptual model parameters and predicted particip...
<p>The 1∶1 line indicates <i>P</i><sub>n</sub> of experimental value equals to the predicted value.<...
Model predictions for participants choosing the predicted information compared to the alternative in...
(A) Log-likelihood ratio of model against the null random baseline model based on predicting histori...
The values shown are the same scores as in Fig 3, for forecasting horizons up to three weeks. The p-...
Overall performance and calibration of the prediction models (quantitative approach).</p
Metrics shown are (A) calibration (p-value of Anderson-Darling test, greater values indicating bette...
Ockham’s plot for the mean evaluation of the predictive capacity of the models based on the criteria...
Deciding whether a model provides a good description of data is often based on a goodness-of-fit cri...
P-values are the most commonly used tool to measure evidence against a hy-pothesis or hypothesized m...
<p>Model explains data produced from experiments in the blue region better than model . The opposit...
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
(A) A scatter plot showing the predicted response (y-axis) of the machine learning model plotted aga...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>Predictive validity of model parameters: (a) Perceptual model parameters and predicted particip...
<p>The 1∶1 line indicates <i>P</i><sub>n</sub> of experimental value equals to the predicted value.<...
Model predictions for participants choosing the predicted information compared to the alternative in...
(A) Log-likelihood ratio of model against the null random baseline model based on predicting histori...
The values shown are the same scores as in Fig 3, for forecasting horizons up to three weeks. The p-...
Overall performance and calibration of the prediction models (quantitative approach).</p
Metrics shown are (A) calibration (p-value of Anderson-Darling test, greater values indicating bette...
Ockham’s plot for the mean evaluation of the predictive capacity of the models based on the criteria...
Deciding whether a model provides a good description of data is often based on a goodness-of-fit cri...
P-values are the most commonly used tool to measure evidence against a hy-pothesis or hypothesized m...
<p>Model explains data produced from experiments in the blue region better than model . The opposit...
A p-value is the probability of observing a result as extreme or more extreme than that observed giv...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
(A) A scatter plot showing the predicted response (y-axis) of the machine learning model plotted aga...
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