Bicurve

  • Last Update:December,16,2020 Created:December,16,2020
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Title of the dataset Bicurve
Provenance of the dataset myself and: https://docs.google.com/spreadsheets/d/1A2kEAZgTSFFRLgPx_-6a404sWX7otvvV/edit#gid=1131554695
How were the data collected/created? What was the cost? I created this data set by manually typing it into Excel.
Data sharing policy Under particular condition.
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About data analysis and simulation

Type of data: Check all that apply. Use "Other" to specify other types so that we can include them in further updates. number
Variable labels of dataset (the names of the variables) X,y
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.
Simulation process 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.

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