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- Estimation Bias Description: Estimation bias refers to the systematic difference between the expected value of an estimator and the true value of the parameter(...) Read more
- Empirical Rule Description: The empirical rule, also known as the 68-95-99.7 rule, is a statistical principle that applies to normal distributions. This rule(...) Read more
- Error Variance Description: The variance of error in a statistical model refers to the measure of dispersion of prediction errors in relation to their mean. In(...) Read more
- Errorbar Description: The error bar is a graphical representation of the variability of data, commonly used in charts to show uncertainty or variability(...) Read more
- Edgecolor Description: The border color in Matplotlib refers to the hue applied to the outlines of graphical shapes, such as lines, rectangles, circles,(...) Read more
- Equal Description: The 'Equal' setting in Matplotlib is an option that ensures both axes of a plot have the same scale, allowing for an accurate(...) Read more
- Ellipse Description: An ellipse is a curve in a plane that surrounds two focal points, known as foci. This geometric figure is characterized by being a(...) Read more
- ErrorbarCap Description: Error bar caps are visual elements added to the ends of error bars in graphs, commonly used in data visualization libraries such as(...) Read more
- Elementwise Description: The term 'Element-wise' refers to an approach where operations are applied to each individual element of an array or data(...) Read more
- EdgeList Description: An EdgeList is a data structure used in graph theory that represents the edges of a graph as a list of pairs, where each pair(...) Read more
- ErrorbarStyle Description: The error bar style in data visualization refers to the visual representation of uncertainty or variability in data through bars(...) Read more
- EdgeThickness Description: The border thickness in a chart refers to the width measurement of the lines that outline the shapes and visual elements within a(...) Read more
- ErrorMetric Description: Error metric is a measure used to evaluate the accuracy of a model, especially in the context of statistics and machine learning.(...) Read more
- ExportFormat Description: The export format in Matplotlib refers to the types of files that can be generated when saving graphs created with this Python(...) Read more
- ExponentialDecay Description: Exponential decay is a mathematical phenomenon that describes a decrease that follows an exponential function. In simple terms,(...) Read more