Recall is crucial for rare event prediction as it focuses on capturing as many positive instances as possible.

Accuracy is not applicable to clustering since it is an unsupervised learning method without labeled data.

F1 Score is used for classification tasks, not for evaluating clustering performance.

Accuracy is a common evaluation metric for classification tasks, measuring the proportion of correct predictions made by the neural network.

The silhouette score is a common metric used to evaluate the quality of clustering by measuring how similar an object is to its own cluster compared to other clusters.

Normalized Discounted Cumulative Gain (NDCG) is used to evaluate the quality of ranked lists, making it suitable for ranking tasks.

Mean Average Precision is commonly used to evaluate the performance of recommendation systems.

Mean Absolute Error measures the average magnitude of errors in a set of predictions, without considering their direction.

Standardization centers the data around zero by subtracting the mean and dividing by the standard deviation.

Min-Max Scaling normalizes the range of features to a specified range, typically [0, 1].

The activity selection problem is solved using the interval scheduling maximization greedy algorithm.

The GET method is considered idempotent and safe, meaning it can be called multiple times without changing the state of the resource.

The PUT method is idempotent, meaning that making the same request multiple times will not change the outcome beyond the initial application.

The GET method is used to request data from a specified resource on the server.

The GET method is used to request data from a specified resource, allowing clients to retrieve information from the server.

The GET method is used to retrieve data from a server, while POST is used to send data to the server.

The POST method is used to submit data to a specified resource for processing.

HTTP status code 200 indicates that the request was successful and the server returned the requested resource.

The HTTP status code 201 indicates that a resource has been successfully created, typically in response to a POST request.

The HTTP status code 404 indicates that a resource was not found on the server.

The insurance industry uses Decision Trees to assess risk based on various customer attributes.

Class A IP addresses are used for large networks, allowing for a vast number of hosts.

Class A IP addresses are used for large networks, allowing for a significant number of hosts due to their large address space.

Class A IP addresses are used for large networks, allowing for a significant number of hosts.

The IP address 127.0.0.1 is reserved for the loopback interface, allowing a device to communicate with itself.

Support Vector Machines can utilize various kernel functions, including linear, polynomial, and radial basis function (RBF) kernels.

The Radial Basis Function (RBF) kernel is popular for handling non-linear classification problems.

The Radial Basis Function (RBF) kernel is commonly used in SVM to handle non-linear data by mapping it into a higher-dimensional space.

The Radial Basis Function (RBF) kernel is commonly used in SVM to handle non-linear data effectively.

The Convolutional layer is responsible for feature extraction by applying filters to the input data.