8000 R-Py parity for ml-regression page by kvdesai · Pull Request #63 · plotly/plotly.r-docs · GitHub
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Update r/2021-07-08-ml-regression.Rmd
Co-authored-by: HammadTheOne <30986043+HammadTheOne@users.noreply.github.com>
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kvdesai and HammadTheOne authored Jul 22, 2021
commit dd411628c131ff4ad8b366d9515adc4ef691a7ac
2 changes: 1 addition & 1 deletion r/2021-07-08-ml-regression.Rmd
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## Model generalization on unseen data

With `add_trace()`, you can easily color your plot based on a predefined data split. By coloring the training and the testing data points with different colors, you can easily see if whether the model generalizes well to the test data or not.
With `add_trace()`, you can easily color your plot based on a predefined data split. By coloring the training and the testing data points with different colors, you can easily see if the model generalizes well to the test data or not.

```{r}
library(reshape2)
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