SPOTMisc (version 1.19.52)

predMlCensus: Predict machine learning models on Census data

Description

Predict machine learning models on Census data

Usage

predMlCensus(
  x = NULL,
  model = NULL,
  target = "age",
  task.type = "classif",
  nobs = 10000,
  nfactors = "high",
  nnumericals = "high",
  cardinality = "high",
  cachedir = "oml.cache",
  k = 1,
  prop = 2/3,
  verbosity = 0
)

Value

list of matrices with predictions and true values

Arguments

x

matrix hyperparameter, e.g., result from spot Load result data for ml model to get the hyperparamater vector x, e.g., load("data/resdl11.RData") and x <- result$xbest or use default.

model

character ml model, e.g., "kknn" run: result$xbest. If NULL, default parameters will be used. Default: NULL.

target

target

task.type

class/reg

nobs

number of obsvervations, max: 229,285

nfactors

(character) number of factor variables

nnumericals

(character) number of numerical variables

cardinality

(character) cardinality

cachedir

cachedir

k

number of repeats

prop

split proportion. Default: c(3/5,1).

verbosity

verbsity. Default: 0