I'm Chris, a high school student at Lynbrook High School.
Checkout my blog at https://acciochris.github.io/
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$$ \begin{align*} \nabla\cdot\mathbf{E} &= \frac{\rho}{\epsilon_0} \\ \nabla\times\mathbf{E} &= -\frac{\partial \mathbf{B}}{\partial t} \\ \nabla\cdot\mathbf{B} &= 0 \\ \nabla\times\mathbf{B} &= \mu_0\mathbf{J} + \mu_0\epsilon_0\frac{\partial \mathbf{E}}{\partial t} \end{align*} $$ -
Programming & Machine Learning
def evaluate(name, y_test, y_pred): print(f"Result for {name}:") print(f"precision: {precision_score(y_test, y_pred)}") print(f"recall: {recall_score(y_test, y_pred)}") print(f"f1: {f1_score(y_test, y_pred)}") print(f"matthews: {matthews_corrcoef(y_test, y_pred)}") plt.close() confusion = ConfusionMatrixDisplay.from_predictions(y_test, y_pred) confusion.plot()