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ercbk
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fixed type in readme
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README.Rmd

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@@ -42,7 +42,7 @@ For the performance experiment (question 2), I'll be varying the repeats of the
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Notes:
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1. I'm using a 4 core, 16 GB RAM machine.
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2. "parsnip" refers to scripts where both the Elastic Net and Ranger Random Forest model functions come from {parsnip}
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2. "parsnip" refers to the script where both the Elastic Net and Ranger Random Forest model functions come from {parsnip}
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3. "ranger" means the Random Forest model function that's used is directly from the {ranger} package.
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4. In "sklearn", the Random Forest model function comes for scikit-learn.
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5. "ranger-kj" uses all the Kuhn-Johnson loop functions and the {ranger} Random Forest model function to execute Raschka's method.

README.md

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@@ -61,7 +61,7 @@ calculated for each combination of repeat, data size, and method.
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Notes:
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1. I’m using a 4 core, 16 GB RAM machine.
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2. “parsnip” refers to scripts where both the Elastic Net and Ranger
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2. “parsnip” refers to the script where both the Elastic Net and Ranger
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Random Forest model functions come from {parsnip}
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3. “ranger” means the Random Forest model function that’s used is
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directly from the {ranger} package.

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