Performance of the machine-learned model when propensity matching based on age and gender.</p
A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p
Model performance measures for the indicated outcomes using a random forest algorithm.</p
Comparing the performance of the GCNMLP with various machine learning methods for SIDER.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p
Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.</...
<p>Performance of the models trained by human polymorphism and primate polymorphism.</p
Model prediction for response times in experiment 2, as a function of word-pairing and participant g...
Performance comparison of the machine learning models regarding the use of KNN imputer.</p
Characteristics of the study population after propensity score matching according to gender.</p
Performance of the machine learning algorithms for survivability predictions.</p
Performance comparison of a species-specific predictor using the test dataset.</p
Propensity score matching was applied for each cohort using the covariates gender, age, region, and ...
Model performance on demographic subgroups of the test set, demonstrating equivalent performance on ...
Model predictions of response times by word gender and IAT pair in experiment 3.</p
A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p
Model performance measures for the indicated outcomes using a random forest algorithm.</p
Comparing the performance of the GCNMLP with various machine learning methods for SIDER.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p
Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.</...
<p>Performance of the models trained by human polymorphism and primate polymorphism.</p
Model prediction for response times in experiment 2, as a function of word-pairing and participant g...
Performance comparison of the machine learning models regarding the use of KNN imputer.</p
Characteristics of the study population after propensity score matching according to gender.</p
Performance of the machine learning algorithms for survivability predictions.</p
Performance comparison of a species-specific predictor using the test dataset.</p
Propensity score matching was applied for each cohort using the covariates gender, age, region, and ...
Model performance on demographic subgroups of the test set, demonstrating equivalent performance on ...
Model predictions of response times by word gender and IAT pair in experiment 3.</p
A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p
Model performance measures for the indicated outcomes using a random forest algorithm.</p
Comparing the performance of the GCNMLP with various machine learning methods for SIDER.</p