maize_phenology

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
tools:::Rd_expr_doi("https://doi.org/10.3390/rs14030469").

datasets

A compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and many more. For more details visit the vignettes <https://adriancorrendo.github.io/metrica/>.

Adrian A. Correndo

metrica

Prediction Performance Metrics

Luiz H. Moro Rosso

Rai Schwalbert

Carlos Hernandez

Leonardo M. Bastos

Luciana Nieto

Dean Holzworth

Ignacio A. Ciampitti

maize_phenology function

This data frame has 103 rows and the following 2 columns:<dl>
<dt>predicted</dt>
<dd>predicted values</dd><dt>actual</dt>
<dd>observed values</dd>
</dl>

Format

Multi Class Phenology — maize_phenology

This data frame has 103 rows and the following 2 columns:<dl>
<dt>predicted</dt>
<dd>predicted values</dd>

<dt>actual</dt>
<dd>observed values</dd>


</dl>

Multi Class Phenology

maize_phenology: Multi Class Phenology

Description

Usage

Arguments

Format