R/data_lymph.R

In ModelOriented/forester: Quick and Simple Tools for Training and Testing of Tree-Based Models

#' Lymph dataset
#'
#' \code{lymph} This lymphography domain was obtained from the University Medical
#' Centre, Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter
#' and M. Soklic for providing the data.
#'
#' @format A data frame with 148 rows and 19 variables:
#' \describe{
#'   \item{lymphatics}{factor, normal, arched, deformed, displaced}
#'   \item{block_of_affere}{factor, no, yes}
#'   \item{bl_of_lymph_c}{factor, no, yes}
#'   \item{bl_of_lymph_s}{factor, no, yes}
#'   \item{by_pass}{factor, no, yes}
#'   \item{extravasates}{factor, no, yes}
#'   \item{regeneration_of}{factor,no, yes}
#'   \item{early_uptake_in}{factor,no, yes}
#'   \item{lym_nodes_dimin}{numeric, 0-3}
#'   \item{lym_nodes_enlar}{numeric,1-4}
#'   \item{changes_in_lym}{factor, bean, oval, round}
#'   \item{defect_in_node}{factor,no, lacunar, lac. marginal, lac. central}
#'   \item{changes_in_node}{factor, no, lacunar, lac. margin, lac. central}
#'   \item{changes_in_stru}{factor,no, grainy, drop-like, coarse, diluted,
#'   reticular, stripped, faint}
#'   \item{special_forms}{factor,no, chalices, vesicles}
#'   \item{dislocation_of}{factor,no, yes}
#'   \item{exclusion_of_no}{factor,no, yes}
#'   \item{no_of_nodes_in}{numeric,0-9, 10-19, 20-29, 30-39, 40-49, 50-59,
#'   60-69, >=70}
#'   \item{class}{factor, normal find, metastases, malign lymph, fibrosis}
#' }
#' @name lymph
#' @docType data
#' @usage data(lymph)
#'
#' @source Data from openml \url{https://www.openml.org/search?type=data&status=active&id=10&sort=runs}.
#'
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