Friday, October 20, 2023

Underfitting in Microsoft Excel

Underfitting in AI and its simple illustration using Microsoft Excel SayPeople SayPeople.com SayPeople.com A simplified illustration of underfitting using Microsoft Excel A simplified illustration of underfitting using Microsoft Excel A simplified illustration of underfitting using Microsoft Excel Underfitting is a common problem in machine learning and AI where a model is too simple to capture the underlying patterns in the data. This results in a model that performs poorly on both the training data and new, unseen data. Underfitting is a common problem in machine learning and AI w... Underfitting is a common problem in machine learning and AI where a model is too simple to capture the underlying patterns in the data. This results in a model that performs poorly on both the training data and new, unseen data. illustration arrow Suppose you have the following data Suppose you have the following data Suppose you have the following data Use Excel's built-in functions to fit a polynomial regression model to the data. You can do this by adding a trendline to the scatter plot of your data: Use Excel's built-in functions to fit a regression model to t... Use Excel's built-in functions to fit a regression model to the data. You can do this by adding a trendline to the scatter plot of your data:· Select your data points and create a scatter plot.· Right-click on a data point and choose "Add Trendline."· Select “Linear” under the “Trendline Options.”· Select “Display the equation on the chart.” illustration arrow.7 gives gives gives The higher-degree polynomial model (degree 2) may fit the training data better The higher-degree polynomial model (degree 2) may fit the tra... The higher-degree polynomial model (degree 2) may fit the training data better now Example data Now, select “Polynomial” under the “Trendline Options” and write “2” in the box with “Order.” Now, select “Polynomial” under the “Trendline Options” and wr... Now, select “Polynomial” under the “Trendline Options” and write “2” in the box with “Order.” Linear relationship Polynomial with Order 2 gives.19 gives gives Now, write “4” in the box with “Order.” Now, write “4” in the box with “Order.” Now, write “4” in the box with “Order.” now.21 Polynomial with Order 4 gives.23 gives gives The higher-degree polynomial models (degree 4) overfit with the data The higher-degree polynomial model (degree 4) overfit with th... The higher-degree polynomial model (degree 4) overfit with the data The linear model (degree 1) likely underfits the data, as it is too simple to capture the underlying curve. The linear model (degree 1) likely underfits the data, as it ... The linear model (degree 1) likely underfits the data, as it is too simple to capture the underlying curve. SayPeople.1350 SayPeople.com SayPeople.com SayPeople.1351 SayPeople.com SayPeople.com SayPeople.1352 SayPeople.com SayPeople.com
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