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‎__site/A-model-tuning-hm.png

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‎__site/A-model-tuning-hpt.svg

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‎__site/ISL-lab-5-g1.svg

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‎__site/ISL-lab-5-g3.svg

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‎__site/ISL-lab-5-g4.svg

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‎__site/_data/kc_housing.csv

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‎__site/assets/end-to-end/HouseKingCounty/code/ex1.jl

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# This file was generated, do not modify it. # hide
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using MLJ, PrettyPrinting, DataFrames, Statistics, CSV, Dates
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using PyPlot, HTTP
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MLJ.color_off() # hide
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req = HTTP.get("https://raw.githubusercontent.com/bbrandom91/KC_Housing/master/kc_house_data.csv")
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df = CSV.read(req.body, missingstring="NA")
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describe(df)

‎__site/assets/end-to-end/HouseKingCounty/code/ex10.jl

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# This file was generated, do not modify it. # hide
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select!(df, Not([:yr_renovated, :sqft_basement, :zipcode]));

‎__site/assets/end-to-end/HouseKingCounty/code/ex11.jl

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# This file was generated, do not modify it. # hide
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plt.figure(figsize=(8,6))
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plt.hist(df.price, color = "blue", edgecolor = "white", bins=50,
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density=true)
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plt.xlabel("Price", fontsize=14)
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plt.ylabel("Frequency", fontsize=14)
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plt.savefig(joinpath(@OUTPUT, "hist_price.svg")) # hide

‎__site/assets/end-to-end/HouseKingCounty/code/ex12.jl

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# This file was generated, do not modify it. # hide
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plt.figure(figsize=(8,6))
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plt.hist(df.price[df.isrenovated .== true], color="blue", density=true,
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edgecolor="white", bins=50, label="renovated", alpha=0.5)
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plt.hist(df.price[df.isrenovated .== false], color="red", density=true,
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edgecolor="white", bins=50, label="unrenovated", alpha=0.5)
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plt.xlabel("Price", fontsize=14)
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plt.ylabel("Frequency", fontsize=14)
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plt.legend(fontsize=12)
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plt.savefig(joinpath(@OUTPUT, "hist_price2.svg")) # hide

‎__site/assets/end-to-end/HouseKingCounty/code/ex13.jl

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# This file was generated, do not modify it. # hide
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@load DecisionTreeRegressor
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y, X = unpack(df, ==(:price), col -> true)
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train, test = partition(eachindex(y), 0.7, shuffle=true, rng=5)
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tree = machine(DecisionTreeRegressor(), X, y)
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fit!(tree, rows=train);

‎__site/assets/end-to-end/HouseKingCounty/code/ex14.jl

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# This file was generated, do not modify it. # hide
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rms(y[test], predict(tree, rows=test))

‎__site/assets/end-to-end/HouseKingCounty/code/ex15.jl

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# This file was generated, do not modify it. # hide
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@load RandomForestRegressor pkg=ScikitLearn

‎__site/assets/end-to-end/HouseKingCounty/code/ex16.jl

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# This file was generated, do not modify it. # hide
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coerce!(X, Finite => Count);

‎__site/assets/end-to-end/HouseKingCounty/code/ex17.jl

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# This file was generated, do not modify it. # hide
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rf_mdl = RandomForestRegressor()
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rf = machine(rf_mdl, X, y)
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fit!(rf, rows=train)
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rms(y[test], predict(rf, rows=test))

‎__site/assets/end-to-end/HouseKingCounty/code/ex18.jl

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# This file was generated, do not modify it. # hide
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cv3 = CV(; nfolds=3)
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res = evaluate(rf_mdl, X, y, resampling=CV(shuffle=true),
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measure=rms, verbosity=0)

‎__site/assets/end-to-end/HouseKingCounty/code/ex19.jl

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# This file was generated, do not modify it. # hide
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@load XGBoostRegressor

‎__site/assets/end-to-end/HouseKingCounty/code/ex2.jl

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# This file was generated, do not modify it. # hide
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select!(df, Not([:id, :date]))
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schema(df)

‎__site/assets/end-to-end/HouseKingCounty/code/ex20.jl

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# This file was generated, do not modify it. # hide
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coerce!(X, Count => Continuous)
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xgb = XGBoostRegressor()
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xgbm = machine(xgb, X, y)
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fit!(xgbm, rows=train)
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rms(y[test], predict(xgbm, rows=test))

‎__site/assets/end-to-end/HouseKingCounty/code/ex21.jl

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# This file was generated, do not modify it. # hide
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r1 = range(xgb, :max_depth, lower=3, upper=10)
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r2 = range(xgb, :num_round, lower=1, upper=25);

‎__site/assets/end-to-end/HouseKingCounty/code/ex22.jl

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# This file was generated, do not modify it. # hide
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tm = TunedModel(model=xgb, tuning=Grid(resolution=7),
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resampling=CV(rng=11), ranges=[r1,r2,r3,r4,r5,r6,r7],
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measure=rms)
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mtm = machine(tm, X, y)
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fit!(mtm, rows=train)
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rms(y[test], predict(mtm, rows=test))

‎__site/assets/end-to-end/HouseKingCounty/code/ex23.jl

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# This file was generated, do not modify it. # hide
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PyPlot.close_figs() # hide

‎__site/assets/end-to-end/HouseKingCounty/code/ex3.jl

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# This file was generated, do not modify it. # hide
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coerce!(df, :zipcode => Multiclass)
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df.isrenovated = @. !ismissing(df.yr_renovated)
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df.has_basement = @. !ismissing(df.sqft_basement)
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schema(df)

‎__site/assets/end-to-end/HouseKingCounty/code/ex4.jl

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# This file was generated, do not modify it. # hide
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coerce!(df, :isrenovated => OrderedFactor, :has_basement => OrderedFactor);

‎__site/assets/end-to-end/HouseKingCounty/code/ex5.jl

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# This file was generated, do not modify it. # hide
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unique(df.waterfront)

‎__site/assets/end-to-end/HouseKingCounty/code/ex6.jl

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# This file was generated, do not modify it. # hide
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df.waterfront = (df.waterfront .!= "FALSE")
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coerce!(df, :waterfront => OrderedFactor);

‎__site/assets/end-to-end/HouseKingCounty/code/ex7.jl

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# This file was generated, do not modify it. # hide
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coerce!(df, autotype(df, :few_to_finite))
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schema(df)

‎__site/assets/end-to-end/HouseKingCounty/code/ex8.jl

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# This file was generated, do not modify it. # hide
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df.price = df.price ./ 1000;

‎__site/assets/end-to-end/HouseKingCounty/code/ex9.jl

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# This file was generated, do not modify it. # hide
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for col in names(df)
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nmissings = sum(ismissing, df[!,col])
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if nmissings > 0
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println(rpad("$col has ", 25), nmissings, " missings")
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end
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end

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex1.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex1.res

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21×8 DataFrame
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│ Row │ variable │ mean │ min │ median │ max │ nunique │ nmissing │ eltype │
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│ │ Symbol │ Union… │ Any │ Union… │ Any │ Union… │ Nothing │ DataType │
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├─────┼───────────────┼────────────┼─────────────────┼───────────┼─────────────────┼─────────┼──────────┼──────────┤
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│ 1 │ id │ 4.5803e9 │ 1000102 │ 3.90493e9 │ 9900000190 │ │ │ Int64 │
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│ 2 │ date │ │ 20140502T000000 │ │ 20150527T000000 │ 372 │ │ String │
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│ 3 │ price │ 540088.0 │ 75000.0 │ 450000.0 │ 7.7e6 │ │ │ Float64 │
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│ 4 │ bedrooms │ 3.37084 │ 0 │ 3.0 │ 33 │ │ │ Int64 │
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│ 5 │ bathrooms │ 2.11476 │ 0.0 │ 2.25 │ 8.0 │ │ │ Float64 │
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│ 6 │ sqft_living │ 2079.9 │ 290 │ 1910.0 │ 13540 │ │ │ Int64 │
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│ 7 │ sqft_lot │ 15107.0 │ 520 │ 7618.0 │ 1651359 │ │ │ Int64 │
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│ 8 │ floors │ 1.49431 │ 1.0 │ 1.5 │ 3.5 │ │ │ Float64 │
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│ 9 │ waterfront │ 0.00754176 │ 0 │ 0.0 │ 1 │ │ │ Int64 │
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│ 10 │ view │ 0.234303 │ 0 │ 0.0 │ 4 │ │ │ Int64 │
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│ 11 │ condition │ 3.40943 │ 1 │ 3.0 │ 5 │ │ │ Int64 │
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│ 12 │ grade │ 7.65687 │ 1 │ 7.0 │ 13 │ │ │ Int64 │
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│ 13 │ sqft_above │ 1788.39 │ 290 │ 1560.0 │ 9410 │ │ │ Int64 │
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│ 14 │ sqft_basement │ 291.509 │ 0 │ 0.0 │ 4820 │ │ │ Int64 │
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│ 15 │ yr_built │ 1971.01 │ 1900 │ 1975.0 │ 2015 │ │ │ Int64 │
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│ 16 │ yr_renovated │ 84.4023 │ 0 │ 0.0 │ 2015 │ │ │ Int64 │
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│ 17 │ zipcode │ 98077.9 │ 98001 │ 98065.0 │ 98199 │ │ │ Int64 │
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│ 18 │ lat │ 47.5601 │ 47.1559 │ 47.5718 │ 47.7776 │ │ │ Float64 │
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│ 19 │ long │ -122.214 │ -122.519 │ -122.23 │ -121.315 │ │ │ Float64 │
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│ 20 │ sqft_living15 │ 1986.55 │ 399 │ 1840.0 │ 6210 │ │ │ Int64 │
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│ 21 │ sqft_lot15 │ 12768.5 │ 651 │ 7620.0 │ 871200 │ │ │ Int64 │

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex10.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex10.res

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nothing

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex11.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex11.res

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nothing

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex12.out

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nothing

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex13.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex13.res

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nothing

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex14.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex14.res

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179.96112573828466

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex15.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex15.res

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RandomForestRegressor(
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n_estimators = 100,
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criterion = "mse",
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max_depth = nothing,
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min_samples_split = 2,
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min_samples_leaf = 1,
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min_weight_fraction_leaf = 0.0,
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max_features = "auto",
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max_leaf_nodes = nothing,
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min_impurity_decrease = 0.0,
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bootstrap = true,
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oob_score = false,
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n_jobs = nothing,
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random_state = nothing,
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verbose = 0,
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warm_start = false) @ 4…24

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex16.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex16.res

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nothing

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex17.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex17.res

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137.65885615237326

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex18.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex18.res

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┌───────────┬───────────────┬────────────────────────────────────────────┐
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│ _.measure │ _.measurement │ _.per_fold │
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├───────────┼───────────────┼────────────────────────────────────────────┤
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│ rms │ 136.0 │ [148.0, 138.0, 123.0, 127.0, 143.0, 134.0] │
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└───────────┴───────────────┴────────────────────────────────────────────┘
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_.per_observation = [missing]

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex19.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex19.res

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XGBoostRegressor(
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num_round = 1,
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booster = "gbtree",
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disable_default_eval_metric = 0,
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eta = 0.3,
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gamma = 0.0,
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max_depth = 6,
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min_child_weight = 1.0,
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max_delta_step = 0.0,
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subsample = 1.0,
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colsample_bytree = 1.0,
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colsample_bylevel = 1.0,
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lambda = 1.0,
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alpha = 0.0,
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tree_method = "auto",
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sketch_eps = 0.03,
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scale_pos_weight = 1.0,
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updater = "auto",
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refresh_leaf = 1,
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process_type = "default",
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grow_policy = "depthwise",
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max_leaves = 0,
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max_bin = 256,
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predictor = "cpu_predictor",
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sample_type = "uniform",
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normalize_type = "tree",
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rate_drop = 0.0,
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one_drop = 0,
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skip_drop = 0.0,
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feature_selector = "cyclic",
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top_k = 0,
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tweedie_variance_power = 1.5,
33+
objective = "reg:linear",
34+
base_score = 0.5,
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eval_metric = "rmse",
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seed = 0) @ 9…92

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex2.out

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‎__site/assets/end-to-end/HouseKingCounty/code/output/ex2.res

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┌───────────────┬─────────┬────────────┐
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│ _.names │ _.types │ _.scitypes │
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├───────────────┼─────────┼────────────┤
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│ price │ Float64 │ Continuous │
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│ bedrooms │ Int64 │ Count │
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│ bathrooms │ Float64 │ Continuous │
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│ sqft_living │ Int64 │ Count │
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│ sqft_lot │ Int64 │ Count │
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│ floors │ Float64 │ Continuous │
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│ waterfront │ Int64 │ Count │
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│ view │ Int64 │ Count │
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│ condition │ Int64 │ Count │
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│ grade │ Int64 │ Count │
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│ sqft_above │ Int64 │ Count │
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│ sqft_basement │ Int64 │ Count │
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│ yr_built │ Int64 │ Count │
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│ yr_renovated │ Int64 │ Count │
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│ zipcode │ Int64 │ Count │
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│ lat │ Float64 │ Continuous │
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│ long │ Float64 │ Continuous │
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│ sqft_living15 │ Int64 │ Count │
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│ sqft_lot15 │ Int64 │ Count │
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└───────────────┴─────────┴────────────┘
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_.nrows = 21613

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480.70583223890355

‎__site/assets/end-to-end/HouseKingCounty/code/output/ex21.out

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nothing

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UndefVarError: r3 not defined

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┌───────────────┬────────────────────────────────┬────────────────┐
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│ _.names │ _.types │ _.scitypes │
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├───────────────┼────────────────────────────────┼────────────────┤
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│ price │ Float64 │ Continuous │
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│ bedrooms │ Int64 │ Count │
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│ bathrooms │ Float64 │ Continuous │
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│ sqft_living │ Int64 │ Count │
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│ sqft_lot │ Int64 │ Count │
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│ floors │ Float64 │ Continuous │
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│ waterfront │ Int64 │ Count │
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│ view │ Int64 │ Count │
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│ condition │ Int64 │ Count │
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│ grade │ Int64 │ Count │
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│ sqft_above │ Int64 │ Count │
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│ sqft_basement │ Int64 │ Count │
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│ yr_built │ Int64 │ Count │
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│ yr_renovated │ Int64 │ Count │
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│ zipcode │ CategoricalValue{Int64,UInt32} │ Multiclass{70} │
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│ lat │ Float64 │ Continuous │
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│ long │ Float64 │ Continuous │
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│ sqft_living15 │ Int64 │ Count │
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│ sqft_lot15 │ Int64 │ Count │
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│ isrenovated │ Bool │ Count │
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│ has_basement │ Bool │ Count │
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└───────────────┴────────────────────────────────┴────────────────┘
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_.nrows = 21613

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2-element Array{Int64,1}:
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0
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1

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┌───────────────┬──────────────────────────────────┬───────────────────┐
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│ _.names │ _.types │ _.scitypes │
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├───────────────┼──────────────────────────────────┼───────────────────┤
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│ price │ Float64 │ Continuous │
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│ bedrooms │ CategoricalValue{Int64,UInt32} │ OrderedFactor{13} │
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│ bathrooms │ CategoricalValue{Float64,UInt32} │ OrderedFactor{30} │
7+
│ sqft_living │ Int64 │ Count │
8+
│ sqft_lot │ Int64 │ Count │
9+
│ floors │ CategoricalValue{Float64,UInt32} │ OrderedFactor{6} │
10+
│ waterfront │ CategoricalValue{Bool,UInt32} │ OrderedFactor{1} │
11+
│ view │ CategoricalValue{Int64,UInt32} │ OrderedFactor{5} │
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│ condition │ CategoricalValue{Int64,UInt32} │ OrderedFactor{5} │
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│ grade │ CategoricalValue{Int64,UInt32} │ OrderedFactor{12} │
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│ sqft_above │ Int64 │ Count │
15+
│ sqft_basement │ Int64 │ Count │
16+
│ yr_built │ Int64 │ Count │
17+
│ yr_renovated │ CategoricalValue{Int64,UInt32} │ OrderedFactor{70} │
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│ zipcode │ CategoricalValue{Int64,UInt32} │ Multiclass{70} │
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│ lat │ Float64 │ Continuous │
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│ long │ Float64 │ Continuous │
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│ sqft_living15 │ Int64 │ Count │
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│ sqft_lot15 │ Int64 │ Count │
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│ isrenovated │ CategoricalValue{Bool,UInt32} │ OrderedFactor{1} │
24+
│ has_basement │ CategoricalValue{Bool,UInt32} │ OrderedFactor{1} │
25+
└───────────────┴──────────────────────────────────┴───────────────────┘
26+
_.nrows = 21613

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