maize_phenology: Multi Class Phenology
In metrica: Prediction Performance Metrics
maize_phenology R Documentation
Multi Class Phenology
Description
This example data set includes maize phenology classes collected in Kansas during the 2018 growing season.
The predicted values were obtained using a Random Forest classifier with a 70/30 split.
The dataset includes 16 phenology stages from VT to R6.
For more information please visit
\Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.3390/rs14030469")}.
Usage
maize_phenology
Format
This data frame has 103 rows and the following 2 columns:
- predicted
predicted values
- actual
observed values
Source
metrica documentation built on June 30, 2024, 5:07 p.m.
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| maize_phenology | R Documentation |
Multi Class Phenology
Description
This example data set includes maize phenology classes collected in Kansas during the 2018 growing season. The predicted values were obtained using a Random Forest classifier with a 70/30 split. The dataset includes 16 phenology stages from VT to R6. For more information please visit \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.3390/rs14030469")}.
Usage
maize_phenology
Format
This data frame has 103 rows and the following 2 columns:
- predicted
predicted values
- actual
observed values
Source
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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