1$ -score, and ROC AUC curve. The results demonstrate that IESOSAD achieves the highest accuracy of 88.12%, surpassing other state-of-the-art machine and ensemble learning algorithms. Moreover, ...

This week’s Generation ROC feature takes us to the Churchville-Chili Central School District highlighting a group of students learning life skills with the goal of spreading kindness and inclusion for ...

Use hist.history dictionary to plot the learning curves as the dependences of values of all keys in the dictionary on an epoch index with automatic recognition of keys of losses, metrics and learning ...

and evaluate the prediction accuracy by plotting the receiver operating characteristic (ROC) curve of each model in the training set and calculating the AUC size to evaluate the prediction accuracy, ...

The “sklearn.metrics” Python package was used to evaluate the PRGs-based classifiers, and the “matplotlib” Python package was used to plot the receiver operating characteristic (ROC) curves. Besides ...