 |
| A Scatter Plot for the data set of table |
Scatter plot in machine learning
A scatter plot is one of the mist effective graphical methods for determining if there appears to be a relationship, pattern, or trend between two numerical attributes. To construct a scatter plot, each pair of values is treated as p pair of coordinates in an algebraic sense and plotted as points in the plane. Fig. shows a scatter plot for the ser of data in the table. The scatter plot is a useful method for providing a first look at bivariate data of seeing clusters of points and outliers, or to explore the possibility of correlation relationships.
When dealing with several attributes, a scatter-plot matrix is a useful extension to the scatter plot. Given n attributes, a scatter-plot matrix is an n X n grid of scatter plots that provides a visualization of each attribute with every another attribute.
Subscribe to:
Posts (Atom)
Algorithm For Loss Function and introduction
Common Loss functions in machine learning- 1)Regression losses and 2)Classification losses . There are three types of Regression losses...
-
Common Loss functions in machine learning- 1)Regression losses and 2)Classification losses . There are three types of Regression losses...
-
-- | -- Module : Algorithms.MDP -- Copyright : Patrick Steele 2015 -- License : MIT (see the LICENSE file) -- Maintainer : prs23...
No comments:
Post a Comment