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PALMER PENGUINS MULTICLASS CLASSIFICATION USING TWO VARIABLES AT A TIME
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# PALMER PENGUINS
# MULTICLASS CLASSIFICATION USING TWO VARIABLES AT A TIME
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# Response:
# Adelie / Chinstrap / Gentoo
#
# Numerical variables:
# bill_length_mm
# bill_depth_mm
# flipper_length_mm
# body_mass_g
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# For EVERY pair of variables fit:
# 1. Softmax Regression
# 2. LDA
# 3. QDA
# 4. Ridge Softmax
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# Uses all complete observations for each pair.
#
# Outputs:
# - Pairwise true-data scatter plot
# - Decision boundary for every method
# - Row-normalized confusion matrix for every method
# - Accuracy / Macro Precision / Recall / F1
# - Final comparison across all 6 variable pairs
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GLM_MF
Human Physiology data
GLM_Iris
Iris Data