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mjskay.github.io
| | yardstick.tidymodels.org
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| | Compute the logarithmic loss of a classification model.
| | matbesancon.xyz
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| | Learning by doing: predicting the outcome.
| | tibble.tidyverse.org
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| | as_tibble() turns an existing object, such as a data frame or matrix, into a so-called tibble, a data frame with class tbl_df. This is in contrast with tibble(), which builds a tibble from individual columns. as_tibble() is to tibble() as base::as.data.frame() is to base::data.frame(). as_tibble() is an S3 generic, with methods for: data.frame: Thin wrapper around the list method that implements tibble's treatment of rownames. matrix, poly, ts, table Default: Other inputs are first coerced with base::as....
| | statisticsblog.com
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| [AI summary] The author uses a smoke detector's Americium-241 as a metaphor to derive a new probability distribution, the Unreliable Friend Distribution (UFD), which models situations where expected wait times increase indefinitely as one waits longer.