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Regression data to predict the total count of bikes rented. Contains 13 features and 17379 observations. Target column is "count".
"count"
All columns have been renamed.
instant, "registered" and "casual" column have been removed.
instant
"registered"
"casual"
"season" and "weather" have been converted to factor().
"season"
"weather"
factor()
"holiday" and "working_day" have been converted to logical().
"holiday"
"working_day"
logical()
data("bike_sharing", package = "mlr3data") str(bike_sharing)
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