ROC Curve
ROC curve is a graphical representation of the trade-off between sensitivity and specificity in a binary classification model, used for model evaluation.
``` In the above code snippet, we are using Plotly, a popular JavaScript library for creating interactive plots and data visualizations. We define the data points for the ROC Curve as `x` and `y` coordinates, and specify the type of plot as a scatter plot with lines connecting the points. We also set the color and width of the lines, as well as the title and axis labels for the plot. To view the ROC Curve, you can save the code in an HTML file and open it in a web browser. The plot will display the Receiver Operating Characteristic (ROC) Curve with False Positive Rate on the x-axis and True Positive Rate on the y-axis. Feel free to customize the code to fit your specific data and requirements, such as changing the color scheme, adding labels, or adjusting the range of the axes.
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