minor

A2/A2_Report.ipynb

@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 80,
    "id": "f201d267",
    "metadata": {},
    "outputs": [
@@ -54,9 +54,9 @@
       "Total features: 40\n",
       "\n",
       "Feature tyoes:\n",
-      "  - FMS Angle deviations: 13 features\n",
-      "  - NASM deviations: 25 features\n",
-      "  - Time deviations: 2 features\n",
+      "  - FMS Angle deviations (body joints): 13 features\n",
+      "  - NASM deviations (mvmt patterns): 25 features\n",
+      "  - Time deviations (phases of squat): 2 features\n",
       "\n",
       "Target: AimoScore (range: 0.01 - 0.99)\n"
      ]
@@ -79,9 +79,9 @@
     "print(f\"Test samples: {len(test_df)}\")\n",
     "print(f\"Total features: {len(train_df.columns) - 2}\")\n",
     "print(f\"\\nFeature tyoes:\")\n",
-    "print(f\"  - FMS Angle deviations: 13 features\")\n",
-    "print(f\"  - NASM deviations: 25 features\")\n",
-    "print(f\"  - Time deviations: 2 features\")\n",
+    "print(f\"  - FMS Angle deviations (body joints): 13 features\")\n",
+    "print(f\"  - NASM deviations (mvmt patterns): 25 features\")\n",
+    "print(f\"  - Time deviations (phases of squat): 2 features\")\n",
     "print(f\"\\nTarget: AimoScore (range: {train_df['AimoScore'].min():.2f} - {train_df['AimoScore'].max():.2f})\")"
    ]
   },
@@ -188,7 +188,7 @@
    "id": "a33098c9",
    "metadata": {},
    "source": [
-    "### 3.3 Expert-Defined Feature Weights (Slide 19)\n",
+    "### 3.3 Expert-Defined Feature Weights\n",
     "\n",
     "Not all features are equally important for scoring:\n",
     "\n",
@@ -469,8 +469,6 @@
     "---\n",
     "## 9. Conclusion\n",
     "\n",
-    "### Key Achievements\n",
-    "\n",
     "| Aspect | Result |\n",
     "|--------|--------|\n",
     "| **Model Performance** | R² = ~0.59 (explains 59% of variance) |\n",