Description Usage Arguments Value References See Also
From UCI: Predicting forest cover type from cartographic variables only (no remotely sensed data). The actual forest cover type for a given observation (30 x 30 meter cell) was determined from US Forest Service (USFS) Region 2 Resource Information System (RIS) data. Independent variables were derived from data originally obtained from US Geological Survey (USGS) and USFS data. Data is in raw form (not scaled) Task: formula(Cover_Type ~ .)
1 2 | createCovertype(file = getfilepath("covertype.rds"), write = TRUE,
read = TRUE)
|
file |
character; path/filename to write data file to |
write |
logical; should the dataset be written to disk for later use? (default: TRUE) |
read |
logical; should we try to read the dataset from the specified location first? (default: TRUE) |
The dataset as a data.table
Blackard, Jock A. and Denis J. Dean. 2000. "Comparative Accuracies of Artificial Neural Networks and Discriminant Analysis in Predicting Forest Cover Types from Cartographic Variables." Computers and Electronics in Agriculture 24(3):131-151.
https://archive.ics.uci.edu/ml/datasets/Covertype
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