The cumulative frequency just greater than or equal to N/2 is 45. (so, the median class would be 30-40). Now by using the formula, Median = L + ((n/2 – CF)/f) x w Where, L = Lower boundary of the median class = 30 N/2 = 30 (already calculated) CF = Cumulative frequen...
While output accuracy is important, the process itself is just as critical. Top priorities for the process include variables such as precision, the percentage of accurate predictions, and recall, the percentage of correct class identification. In some cases, the results can be judged with a ...
In statistics, linear regression is used to determine the relationship between input and output. In its simplest form, this can be represented by the algebraic formula y = Ax + B. This model uses a data set to create that formula based on input, output, and possible variable coefficients. ...
The data set is linearly separable, meaning LDA can draw a straight line or a decision boundary that separates the data points. Each class has the same covariance matrix. For these reasons, LDA may not perform well in high-dimensional feature spaces. ...
Let \Omega be the domain in \mathbb{R}^{2} given by:1\leq |x|\ leq \leq 2;1\leq|y|\leq 2.Let \partial \Omega denote the boundary of \Omega (draw a picture of it).Let \vec{E}= \left(\frac{-y}{x^2+y^2}, How to tell if a statement is valid or invalid in discrete...
InsightArchitectural thinking in the Wild West of data science Learn why having a complete freedom in choice of programming languages, tools and frameworks improves creative thinking and evolvement. Read the insight Use data science tools and solutions to uncover patterns and build predictions by using...
In statistics, linear regression is used to determine the relationship between input and output. In its simplest form, this can be represented by the algebraic formula y = Ax + B. This model uses a data set to create that formula based on input, output, and possible variable coefficients. ...
While output accuracy is important, the process itself is just as critical. Top priorities for the process include variables such as precision, the percentage of accurate predictions, and recall, the percentage of correct class identification. In some cases, the results can be judged with a ...
Explain how to find the mean of a time series. What is the difference between a class boundary and a class limit? Why do we require that a time series be stationary in order to apply ARMA modelling? What is the difference between a multiple-baseline design and a reversal design?
Systems thinking is a holistic means of investigating the factors and interactions that could contribute to a potential outcome. It is about thinking non-linearly, and understanding the second-order consequences of actions and input into the system.