Reproducibility: "(POSTER) Towards Data Dissemination Policy Prediction for Constrained Environments Using Analytics" (this repo is not cited in any papers)
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2023-11-30 11:05:06 +01:00
analysis Update 2023-02-13 19:40:51 +01:00
simulations Update 2022-11-23 15:49:44 +01:00
slides_recap Update 2022-12-09 13:27:27 +01:00
CCGRID2022.csv Init repository 2022-10-24 10:46:04 +02:00
inputs.csv Minor changes 2022-11-21 15:08:51 +01:00
inputs_NoHintIsFALSE.csv Minor changes 2022-11-23 10:47:14 +01:00
inputs_NoHintIsTRUE.csv Minor changes 2022-11-23 10:47:14 +01:00
README.md Minor changes 2023-11-30 11:05:06 +01:00
sim_results_WITH_HINT.csv Minor changes 2022-11-30 10:01:05 +01:00

loosely-policies-analytics

Analysis folder:

  • learning.R: contains two major functions:
    • build_models: To generate K-fold cross-validation results (note that hyper-parameters for decisions tree is fixed (no validation set))
    • generate_inputs: generate the inputs for the simulations experiments + the decision tree plots
  • days.R: Implement the in-situ learning approach

To fix: remove minbucket=1 (does not impact the results)