Update A2_Report.ipynb

A2/A2_Report.ipynb

@@ -51,7 +51,7 @@
       "Dataset\n",
       "Training samples: 1599\n",
       "Test samples: 400\n",
-      "Dedublicated samples: 95\n",
+      "Deduplicated samples: 95\n",
       "Total features: 40\n",
       "\n",
       "Feature types:\n",
@@ -76,14 +76,14 @@
     "raw_train_df = pd.read_csv(os.path.join(DATA_DIR, \"A2_dataset_80.csv\"))\n",
     "raw_test_df = pd.read_csv(os.path.join(DATA_DIR, \"A2_dataset_20.csv\"))\n",
     "\n",
-    "# dedublicated dataset\n",
+    "# deduplicated dataset\n",
     "train_df = pd.read_csv(os.path.join(DATA_DIR, \"train.csv\"))\n",
     "test_df = pd.read_csv(os.path.join(DATA_DIR, \"test.csv\"))\n",
     "\n",
     "print(\"Dataset\")\n",
     "print(f\"Training samples: {len(train_df)}\")\n",
     "print(f\"Test samples: {len(test_df)}\")\n",
-    "print(\"Dedublicated samples: 95\")\n",
+    "print(\"Deduplicated samples: 95\")\n",
     "print(f\"Total features: {len(train_df.columns) - 2}\")\n",
     "print(f\"\\nFeature types:\")\n",
     "print(f\"  - FMS Angle deviations (body joints): 13 features\")\n",
@@ -138,7 +138,7 @@
     "plt.tight_layout()\n",
     "plt.show()\n",
     "\n",
-    "# plot the dedublicated data\n",
+    "# plot the deduplicated data\n",
     "fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n",
     "\n",
     "# Target distribution\n",
@@ -148,7 +148,7 @@
     "\n",
     "# Box plot\n",
     "sns.boxplot(x=train_df['AimoScore'], ax=axes[1], color='steelblue')\n",
-    "axes[1].set_title('Dedublicated AimoScore Boxplot')\n",
+    "axes[1].set_title('Deduplicated AimoScore Boxplot')\n",
     "\n",
     "plt.tight_layout()\n",
     "plt.show()"