{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "56df6308-bd41-4c93-bf2d-c74d1e5837ab",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.datasets import make_circles\n",
"\n",
"\n",
"# Make 1000 samples \n",
"n_samples = 1000\n",
"\n",
"# Create circles\n",
"# X為二維向量(x,y)，y則為label 0或1\n",
"X, y = make_circles(n_samples,\n",
" noise=0.03, # a little bit of noise to the dots\n",
" random_state=42) # keep random state so we get the same values"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e2545461-6a15-4153-91ca-ca815f47c4a6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"First 5 X features:\n",
"[[ 0.75424625 0.23148074]\n",
" [-0.75615888 0.15325888]\n",
" [-0.81539193 0.17328203]\n",
" [-0.39373073 0.69288277]\n",
" [ 0.44220765 -0.89672343]]\n",
"\n",
"First 5 y labels:\n",
"[1 1 1 1 0]\n"
]
}
],
"source": [
"print(f\"First 5 X features:\\n{X[:5]}\")\n",
"print(f\"\\nFirst 5 y labels:\\n{y[:5]}\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b2116df9-b460-4a46-87ab-b293cfe74818",
"metadata": {},
"outputs": [
{
"data": {
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" | \n",
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