Custom XGBoost Loss function w/ Zygote. Julia Computing blog post

Specific Domains Machine Learning
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Just construct a DataFrame from the names and scores?

julia> using  DataFrames

julia> m_names = ["EvoTreeRegressor", "BaggingRegressor"];

julia> sc = [2.5212, 2.5358];

julia> DataFrame(Model = m_names, RMSE = sc)
2×2 DataFrame
│ Row │ Model            │ RMSE    │
│     │ String           │ Float64 │
├─────┼──────────────────┼─────────┤
│ 1   │ EvoTreeRegressor │ 2.5212  │
│ 2   │ BaggingRegressor │ 2.5358  │

You can still display that in Juno with showtable but also write it to csv with CSV.write("results.csv", df)