|Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates.
|Variable labels of dataset (the names of the variables)
|Outline of data
||This is a data set where the explanatory variables X are arranged in intervals of 0.125 from -10 to 10, and the objective variable y is the value of X squared.
||You can use this data set for the simplest machine learning predictions, with X as the explanatory variable and y as the objective variable. I actually used these data sets for machine learning in my graduation research.
|Expected outcome of the process (obtained knowledge, analysis results, output of tools)
||You will be able to predict the objective variable y with more than 99% accuracy.
|Anticipation for analyses/simulations other than the typical ones provided above
||This dataset can be used to examine the differences between prediction methods in various machine learning fields, including deep learning.