Assignment1

01_materials/notebooks/Classification-1.ipynb

@@ -23,7 +23,15 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Matplotlib is building the font cache; this may take a moment.\n"
+     ]
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
@@ -468,13 +476,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
+      "<class 'pandas.DataFrame'>\n",
       "RangeIndex: 569 entries, 0 to 568\n",
-      "Data columns (total 33 columns):\n",
+      "Data columns (total 32 columns):\n",
       " #   Column                   Non-Null Count  Dtype  \n",
       "---  ------                   --------------  -----  \n",
       " 0   id                       569 non-null    int64  \n",
-      " 1   diagnosis                569 non-null    object \n",
+      " 1   diagnosis                569 non-null    str    \n",
       " 2   radius_mean              569 non-null    float64\n",
       " 3   texture_mean             569 non-null    float64\n",
       " 4   perimeter_mean           569 non-null    float64\n",
@@ -505,9 +513,8 @@
       " 29  concave points_worst     569 non-null    float64\n",
       " 30  symmetry_worst           569 non-null    float64\n",
       " 31  fractal_dimension_worst  569 non-null    float64\n",
-      " 32  Unnamed: 32              0 non-null      float64\n",
-      "dtypes: float64(31), int64(1), object(1)\n",
-      "memory usage: 146.8+ KB\n"
+      "dtypes: float64(30), int64(1), str(1)\n",
+      "memory usage: 142.4 KB\n"
      ]
     }
    ],
@@ -531,7 +538,9 @@
     {
      "data": {
       "text/plain": [
-       "array(['M', 'B'], dtype=object)"
+       "<StringArray>\n",
+       "['M', 'B']\n",
+       "Length: 2, dtype: str"
       ]
      },
      "execution_count": 4,
@@ -558,7 +567,9 @@
     {
      "data": {
       "text/plain": [
-       "array(['Malignant', 'Benign'], dtype=object)"
+       "<StringArray>\n",
+       "['Malignant', 'Benign']\n",
+       "Length: 2, dtype: str"
       ]
      },
      "execution_count": 5,
@@ -596,7 +607,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -608,7 +619,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -626,7 +637,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -638,7 +649,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2326,7 +2337,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "base",
+   "display_name": "lcr-env (3.11.14)",
    "language": "python",
    "name": "python3"
   },
@@ -2340,7 +2351,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.14"
   }
  },
  "nbformat": 4,

01_materials/notebooks/Classification-2.ipynb

@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2789,7 +2789,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "base",
+   "display_name": "lcr-env (3.11.14)",
    "language": "python",
    "name": "python3"
   },
@@ -2803,7 +2803,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.10"
+   "version": "3.11.14"
   }
  },
  "nbformat": 4,