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Classification algorithms categorize data into predefined classes from "summary" of Data Science and Big Data Analytics by EMC Education Services
Classification algorithms are a key component of data science, as they allow us to automatically categorize data into predefined classes based on their characteristics. These algorithms are trained on labeled data, where each data point is assigned a class label. Once the algorithm is trained, it can then be used to predict the class of new, unseen data points. There are many different types of classification algorithms, each with its strengths and weaknesses. Some of the most commonly used algorithms include decision trees, logistic regression, support vector machines, and neural networks. Each algorithm has its own set of assumptions and parameters that can affect its performance on different types of data. Decision trees are a popular choice for classification tasks because they are easy to interpret and visualize. They...
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