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vignette_0_The_Hello_World_of_LogisticEnsembles5 months ago
Installation | Example | 24 summary tables (three are shown): | Summary Report | Finding the strongest predictor from the most accurate model(s) | Grand Summary
Logistic report template10 months ago
Introduction | Statement of the problem from the customer's perspective | History of the problem, previous results | Exploratory data analysis | 24 logistic models (Individual models then ensembles, in alphabetical order) | Ensembles and individual model plots | Strongest evidence based results: | Five strongest evidence based recommendations | Conclusions | References
vignette_1_the_data-colnum-numresamples10 months ago
vignette_2_remove_VIF_greater_than10 months ago
vignette_3_remove_ensemble_correlations_greater_than10 months ago
vignette_4_save_all_trained_models_and_save_all_plots10 months ago
vignette_5_how_to_handle_strings10 months ago
vignette_6_set_seed10 months ago
vignette_7_do_you_have_new_data10 months ago
vignette_8_Capstone-Using_multiple_features10 months ago
ForecastingEnsembles-vignette2 years ago
Example: Bureau of Labor Statistics, All Nonfarm Employees from January, 2015 through October, 2024 | tl::dr How the time series data is set up (as two columns of data) | The one chunk of code needed to automatically run the entire analysis | If you need to difference data: | If you need to do seasonal differencing of data (in this example monthly data): | If you need to double difference data (do the difference twice): | Plots | Summary tables | List of 23 time series models used by the package | Grand summary