<p>Average SD for the coefficient of determination () obtained for each class by the predictive model when varying the size of the training dataset, starting with 30% of samples and increasing up to 70% of samples (the remaining samples were used for testing).</p
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
Prediction error distributions of four models with different training sample sizes.</p
The main objective of this paper is to investigate the relationship between the size of training sam...
An average predictive accuracy graph using training datasets for threshold value identification.</p
<p>This dataset was used to create the predictive model applied to all other datasets.</p
<p>Prediction MCC based on different number of training samples for three external validation datase...
<p>Note. <i>r</i> = correlations between scores predicted by the model and score for that tweet from...
<p>Prediction accuracies obtained by the method as applied to training and test datasets of each tes...
<p>We evaluated the robustness of our classification algorithms by testing with different sizes for ...
<p>Note. Ratings predicted from Random Forest models based on word frequencies.</p><p>Descriptive St...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>Semi-supervised learning results for varying sizes of the initial training set (different number ...
<p>Prediction accuracy based on different sampling strategies (k indicates the number of clusters). ...
Forecasting is one of the main topics in data mining or machine learning in which forecasting, a gro...
<p>The corresponding measurement was represented as the average value ± standard deviation.</p
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
Prediction error distributions of four models with different training sample sizes.</p
The main objective of this paper is to investigate the relationship between the size of training sam...
An average predictive accuracy graph using training datasets for threshold value identification.</p
<p>This dataset was used to create the predictive model applied to all other datasets.</p
<p>Prediction MCC based on different number of training samples for three external validation datase...
<p>Note. <i>r</i> = correlations between scores predicted by the model and score for that tweet from...
<p>Prediction accuracies obtained by the method as applied to training and test datasets of each tes...
<p>We evaluated the robustness of our classification algorithms by testing with different sizes for ...
<p>Note. Ratings predicted from Random Forest models based on word frequencies.</p><p>Descriptive St...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>Semi-supervised learning results for varying sizes of the initial training set (different number ...
<p>Prediction accuracy based on different sampling strategies (k indicates the number of clusters). ...
Forecasting is one of the main topics in data mining or machine learning in which forecasting, a gro...
<p>The corresponding measurement was represented as the average value ± standard deviation.</p
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
Prediction error distributions of four models with different training sample sizes.</p
The main objective of this paper is to investigate the relationship between the size of training sam...
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