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Merged
ablaom merged 1 commit into from
Aug 29, 2026
Merged

Commit Notebook Markdown Changes #69

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60 changes: 30 additions & 30 deletions docs/src/notebooks/MLJTutorial/99_solution_to_exercises/notebook.md
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Original file line number Diff line number Diff line change
Expand Up @@ -50,8 +50,8 @@ A = rand(2, 3)

````
2×3 Matrix{Float64}:
0.825126 0.927631 0.216194
0.969753 0.343094 0.567502
0.436654 0.811629 0.363581
0.781021 0.0747531 0.439646
````

````@julia
Expand All @@ -77,8 +77,8 @@ Asparse = sparse(A)

````
2×3 SparseArrays.SparseMatrixCSC{Float64, Int64} with 6 stored entries:
0.825126 0.927631 0.216194
0.969753 0.343094 0.567502
0.436654 0.811629 0.363581
0.781021 0.0747531 0.439646
````

````@julia
Expand All @@ -95,8 +95,8 @@ C = coerce(A, Multiclass)

````
2×3 CategoricalArrays.CategoricalArray{Float64,2,UInt32}:
0.825126 0.927631 0.216194
0.969753 0.343094 0.567502
0.436654 0.811629 0.363581
0.781021 0.0747531 0.439646
````

````@julia
Expand Down Expand Up @@ -142,7 +142,7 @@ AbstractVector{Union{Missing, Count}} (alias for AbstractArray{Union{Missing, Sc

#### Exercise 2 solution

From the question statement:
From the question statement, we have:

````@julia
quality = ["good", "poor", "poor", "excellent", missing, "good", "excellent"]
Expand Down Expand Up @@ -326,16 +326,16 @@ y4 = [n_devices(row.salary) for row in eachrow(X4)]

````
10-element Vector{Int64}:
4
3
3
1
5
2
3
1
4
2
2
2
0
4
3
1
````

4(a)
Expand Down Expand Up @@ -411,10 +411,10 @@ pretty(X)
│ Float64 │ Float64 │
│ Continuous │ Continuous │
├────────────┼────────────┤
│ 0.362136 │ 0.40804 │
│ 0.910894 │ 0.507141 │
│ 0.606253 │ 0.58319 │
│ 0.952481 │ 0.424991 │
│ 0.961707 │ 0.368005 │
│ 0.834368 │ 0.482366 │
│ 0.543462 │ 0.680675 │
│ 0.41441 │ 0.273404 │
└────────────┴────────────┘

````
Expand Down Expand Up @@ -589,19 +589,19 @@ PerformanceEvaluation object with these fields:
measurement, uncertainty_radius_95, per_fold, per_observation,
fitted_params_per_fold, report_per_fold,
train_test_rows, resampling, repeats
Tag: RandomForestClassifier-367
Tag: RandomForestClassifier-171
Extract:
┌──────────────────────┬───────────┬─────────────┐
│ measure │ operation │ measurement │
├──────────────────────┼───────────┼─────────────┤
│ LogLoss( │ predict │ 1.11 │
│ LogLoss( │ predict │ 1.1 │
│ tol = 2.22045e-16) │ │ │
└──────────────────────┴───────────┴─────────────┘
┌─────────────────────────────────────────┬─────────┐
│ per_fold │ 1.96*SE │
├─────────────────────────────────────────┼─────────┤
│ [0.802, 1.39, 1.77, 0.782, 1.24, 0.675] │ 0.377 │
└─────────────────────────────────────────┴─────────┘
┌───────────────────────────────────────┬─────────┐
│ per_fold │ 1.96*SE │
├───────────────────────────────────────┼─────────┤
│ [1.28, 1.38, 1.76, 0.778, 0.72, 0.66] │ 0.391 │
└───────────────────────────────────────┴─────────┘

````

Expand Down Expand Up @@ -660,7 +660,7 @@ err_forest =
````

````
1.288531123202012
1.285130671948529
````

#### Exercise 7
Expand Down Expand Up @@ -725,18 +725,18 @@ PerformanceEvaluation object with these fields:
measurement, uncertainty_radius_95, per_fold, per_observation,
fitted_params_per_fold, report_per_fold,
train_test_rows, resampling, repeats
Tag: ProbabilisticPipeline-169
Tag: ProbabilisticPipeline-956
Extract:
┌──────────────────────┬───────────┬─────────────┐
│ measure │ operation │ measurement │
├──────────────────────┼───────────┼─────────────┤
│ LogLoss( │ predict │ 0.863 │
│ LogLoss( │ predict │ 0.92 │
│ tol = 2.22045e-16) │ │ │
└──────────────────────┴───────────┴─────────────┘
┌──────────────────────────────────────────┬─────────┐
│ per_fold │ 1.96*SE │
├──────────────────────────────────────────┼─────────┤
│ [0.944, 1.0, 0.722, 0.816, 0.873, 0.821] │ 0.087 │
│ [0.943, 1.27, 0.779, 0.792, 0.95, 0.786] │ 0.166 │
└──────────────────────────────────────────┴─────────┘

````
Expand Down Expand Up @@ -828,7 +828,7 @@ PerformanceEvaluation object with these fields:
measurement, uncertainty_radius_95, per_fold, per_observation,
fitted_params_per_fold, report_per_fold,
train_test_rows, resampling, repeats
Tag: DeterministicPipeline-714
Tag: DeterministicPipeline-792
Extract:
┌──────────┬───────────┬─────────────┐
│ measure │ operation │ measurement │
Expand All @@ -854,7 +854,7 @@ PerformanceEvaluation object with these fields:
measurement, uncertainty_radius_95, per_fold, per_observation,
fitted_params_per_fold, report_per_fold,
train_test_rows, resampling, repeats
Tag: DeterministicTunedModel-634
Tag: DeterministicTunedModel-143
Extract:
┌──────────┬───────────┬─────────────┐
│ measure │ operation │ measurement │
Expand Down
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