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Merged
juliagallucci merged 1 commit into from
Jan 6, 2025
Merged

Update Classification-1.ipynb #153

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22 changes: 11 additions & 11 deletions 01_materials/notebooks/Classification-1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -713,7 +713,7 @@
"color_map = {l: colors[i % len(colors)] for i, l in enumerate(labels)}\n",
"\n",
"# Plot\n",
"plt.scatter(cancer[\"perimeter_mean\"], cancer['compactness_mean'], \n",
"plt.scatter(cancer[\"perimeter_mean\"], cancer['concavity_mean'], \n",
" color=cancer[\"diagnosis\"].map(color_map))\n",
"\n",
"# Create custom legend handles\n",
Expand All @@ -723,8 +723,8 @@
"\n",
"# Add labels and legend\n",
"plt.xlabel('Perimeter Mean')\n",
"plt.ylabel('Compactness Mean')\n",
"plt.title('Scatter Plot of Perimeter Mean vs Compactness Mean')\n",
"plt.ylabel('Concavity Mean')\n",
"plt.title('Scatter Plot of Perimeter Mean vs Concavity Mean')\n",
"plt.legend(handles=handles, title='Diagnosis')\n",
"plt.show()\n"
]
Expand Down Expand Up @@ -775,7 +775,7 @@
],
"source": [
"# Plot existing data\n",
"plt.scatter(cancer[\"perimeter_mean\"], cancer['compactness_mean'], \n",
"plt.scatter(cancer[\"perimeter_mean\"], cancer['concavity_mean'], \n",
" color=cancer[\"diagnosis\"].map(color_map))\n",
"\n",
"# Create custom legend handles\n",
Expand All @@ -784,14 +784,14 @@
" for label in labels]\n",
"\n",
"# Add new observation\n",
"new_observation = {'perimeter_mean': 97, 'compactness_mean': 0.20}\n",
"plt.scatter(new_observation['perimeter_mean'], new_observation['compactness_mean'],\n",
"new_observation = {'perimeter_mean': 97, 'concavity_mean': 0.20}\n",
"plt.scatter(new_observation['perimeter_mean'], new_observation['concavity_mean'],\n",
" color='red', edgecolor='black', s=100, label='New Observation')\n",
"\n",
"# Add labels and legend\n",
"plt.xlabel('Perimeter Mean')\n",
"plt.ylabel('Compactness Mean')\n",
"plt.title('Scatter Plot of Perimeter Mean vs Compactness Mean')\n",
"plt.ylabel('Concavity Mean')\n",
"plt.title('Scatter Plot of Perimeter Mean vs Concavity Mean')\n",
"plt.legend(handles=handles + [plt.Line2D([0], [0], marker='o', color='w', \n",
" markerfacecolor='red', markeredgecolor='black', \n",
" markersize=10, label='New Observation')], \n",
Expand Down Expand Up @@ -1019,7 +1019,7 @@
"metadata": {},
"source": [
"$$\n",
"Distance = \\sqrt{(x_B - x_A)^2 + (y_B - y_A)^2 + (z_B - z_A)}\n",
"Distance = \\sqrt{(x_B - x_A)^2 + (y_B - y_A)^2 + (z_B - z_A)^2}\n",
"$$"
]
},
Expand Down Expand Up @@ -1063,10 +1063,10 @@
" c=cancer['diagnosis'].map(color_map), marker='o')\n",
"\n",
"# Define the new observation\n",
"new_observation = {'perimeter_mean': 97, 'compactness_mean': 0.20, 'symmetry_mean': 0.22}\n",
"new_observation = {'perimeter_mean': 97, 'concavity_mean': 0.20, 'symmetry_mean': 0.22}\n",
"\n",
"# Plot the new observation\n",
"ax.scatter3D(new_observation['perimeter_mean'], new_observation['compactness_mean'], \n",
"ax.scatter3D(new_observation['perimeter_mean'], new_observation['concavity_mean'], \n",
" new_observation['symmetry_mean'], color='red', edgecolor='black', \n",
" s=100, marker='o', label='New Observation')\n",
"\n",
Expand Down
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