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ВСР_2.2.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 93.33333333333333%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# ВСР 2.2 Классификация цветов Ирисов\n",
+    "\n",
+    "using RDatasets, StatsBase, Random\n",
+    "\n",
+    "Random.seed!(123) # Определение последующих случайных чисел\n",
+    "\n",
+    "df = dataset(\"datasets\", \"iris\") # Загрузка набора данных\n",
+    "\n",
+    "x = Matrix(df[:, 1:4])\n",
+    "species = df[:, :Species]\n",
+    "\n",
+    "species_map = Dict(\"setosa\" => 0, \"versicolor\" => 1, \"virginica\" => 2) # Создание словаря для перевода названий в числа\n",
+    "\n",
+    "y_numeric = [species_map[s] for s in species]\n",
+    "\n",
+    "x_len = size(df, 1) # Количество строк в матрице x\n",
+    "train_size = floor(Int, x_len * 0.7) # Размер обучающей выборки\n",
+    "\n",
+    "shuffle_def = shuffle(1:x_len)\n",
+    "\n",
+    "x_train = x[shuffle_def[1:train_size], :] # Разделение данных на обучающую и тестовую выборки\n",
+    "x_test = x[shuffle_def[train_size+1:end], :]\n",
+    "y_train = y_numeric[shuffle_def[1:train_size]]\n",
+    "y_test = y_numeric[shuffle_def[train_size+1:end]]\n",
+    "\n",
+    "\n",
+    "k = 4  # k ближайщих соседей\n",
+    "\n",
+    "y_pred = []\n",
+    "\n",
+    "for x in eachrow(x_test)\n",
+    "    distances = [sum((x_train[i, :] .- x).^2) for i in 1:size(x_train, 1)] # Вычисление расстояние между x и каждым элементом x_train\n",
+    "    sorted_indices = sortperm(distances)[1:k] # Сортировка по возрастанию ближайщих k соседей\n",
+    "    nearest_labels = y_train[sorted_indices]\n",
+    "    predicted_label = mode(nearest_labels) # Выбираем самый часто встречающийся вид среди k соседей\n",
+    "    push!(y_pred, predicted_label)\n",
+    "end\n",
+    "\n",
+    "accuracy = mean(y_test .== y_pred)\n",
+    "println(\"Accuracy: \", accuracy * 100, \"%\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Julia 1.10.5",
+   "language": "julia",
+   "name": "julia-1.10"
+  },
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "1.10.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}