Interval
In data science, an interval is a range of values that defines a specific subset of a dataset. It is commonly used in statistical analysis to represent a confidence interval or a margin of error. An interval can be defined by two values, a lower bound and an upper bound, which can be either inclusive or exclusive. The length of an interval is the difference between the upper and lower bounds. Intervals can be used to estimate population parameters, such as the mean or standard deviation, based on a sample of data. They can also be used to test hypotheses and make predictions about future observations. In machine learning, intervals can be used to define decision boundaries for classification models, or to represent uncertainty in probabilistic models.
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