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• Jaccard Similarity: Jaccard Similarity is a measure of similarity between two sets of data. It is defined as the size of the intersection divided by the size of the union of the sets. In other words, it measures the proportion of shared data points between two ... Read More >>
• Hyperparameters: In the context of machine learning, hyperparameters are parameters that are not learned from data but are set prior to training. They are used to control the learning process and affect the performance of the model. Examples of hyperparamet ... Read More >>
• Node Classification: Node classification is a supervised learning task in which a model is trained to predict the class label of a node in a graph based on its features and the labels of its neighboring nodes. This task is commonly used in social network analys ... Read More >>