SLEEP ANALYSIS USING ALL FEATURES

building machine learning models using all features of the datasets
Redback-Operations · Sep 30, 2024 · 5b5c6e2 · 5b5c6e2
1 parent 1ccce7d
commit 5b5c6e2
Showing 1 changed file with 8 additions and 8 deletions.
diff --git a/...sleep_disorder_prediction/all_feature_sleep_pattern_analysis/sleep_analysis_phase_1.ipynb b/...sleep_disorder_prediction/all_feature_sleep_pattern_analysis/sleep_analysis_phase_1.ipynb
@@ -311,14 +311,14 @@
    ],
    "source": [
     "# GitHub link for the Excel file\n",
-    "url = \"https://raw.githubusercontent.com/Redback-Operations/redback-senior-tech/main/data_science/sleep_disorder_prediction/data/SleepStagingStatisticalFeatures.xlsx\"\n",
+    "URL = \"https://raw.githubusercontent.com/Redback-Operations/redback-senior-tech/main/data_science/sleep_disorder_prediction/data/SleepStagingStatisticalFeatures.xlsx\"\n",
     "\n",
     "# Reading the Excel file using the raw content link\n",
-    "STATISTICAL_FEATURES = pd.read_excel(url, engine='openpyxl')\n",
+    "STATISTICAL_FEATURES = pd.read_excel(URL, engine='openpyxl')\n",
     "\n",
     "# Displaying the first few rows and the info of the dataset\n",
     "display(STATISTICAL_FEATURES.head())\n",
-    "STATISTICAL_FEATURES.info()\n"
+    "STATISTICAL_FEATURES.info()"
    ]
   },
   {
@@ -597,10 +597,10 @@
    ],
    "source": [
     "# GitHub link for the Excel file\n",
-    "url = \"https://raw.githubusercontent.com/Redback-Operations/redback-senior-tech/main/data_science/sleep_disorder_prediction/data/SleepStagingCardioRespiratoryFeatures.xlsx\"\n",
+    "URL = \"https://raw.githubusercontent.com/Redback-Operations/redback-senior-tech/main/data_science/sleep_disorder_prediction/data/SleepStagingCardioRespiratoryFeatures.xlsx\"\n",
     "\n",
     "# Reading the Excel file using the raw content link\n",
-    "CARDIO_RESPIRATORY_FEATURES = pd.read_excel(url, engine='openpyxl')\n",
+    "CARDIO_RESPIRATORY_FEATURES = pd.read_excel(URL, engine='openpyxl')\n",
     "\n",
     "# Displaying the first few rows and the info of the dataset\n",
     "display(CARDIO_RESPIRATORY_FEATURES.head())\n",
@@ -868,10 +868,10 @@
    ],
    "source": [
     "# GitHub link for the Excel file\n",
-    "url = \"https://raw.githubusercontent.com/Redback-Operations/redback-senior-tech/main/data_science/sleep_disorder_prediction/data/SleepStagingArterialFeatures.xlsx\"\n",
+    "URL = \"https://raw.githubusercontent.com/Redback-Operations/redback-senior-tech/main/data_science/sleep_disorder_prediction/data/SleepStagingArterialFeatures.xlsx\"\n",
     "\n",
     "# Reading the Excel file using the raw content link\n",
-    "ARTERIAL_FEATURES = pd.read_excel(url, engine='openpyxl')\n",
+    "ARTERIAL_FEATURES = pd.read_excel(URL, engine='openpyxl')\n",
     "\n",
     "# Displaying the first few rows and the info of the dataset\n",
     "display(ARTERIAL_FEATURES.head())\n",
@@ -2301,7 +2301,7 @@
     {
      "data": {
       "text/plain": [
-       "'              precision    recall  f1-score   support\\n\\n           1       0.50      0.27      0.35       233\\n           2       0.58      0.71      0.63       529\\n           3       0.65      0.43      0.52       223\\n           4       0.70      0.57      0.63        77\\n           5       0.81      0.48      0.61       163\\n           6       0.72      0.88      0.79       661\\n\\n    accuracy                           0.66      1886\\n   macro avg       0.66      0.56      0.59      1886\\nweighted avg       0.65      0.66      0.64      1886\\n'"
+       "'              precision    recall  f1-score   support\\n\\n           1       0.46      0.26      0.33       233\\n           2       0.58      0.70      0.64       529\\n           3       0.64      0.43      0.51       223\\n           4       0.68      0.56      0.61        77\\n           5       0.78      0.49      0.60       163\\n           6       0.73      0.88      0.80       661\\n\\n    accuracy                           0.65      1886\\n   macro avg       0.65      0.55      0.58      1886\\nweighted avg       0.65      0.65      0.64      1886\\n'"
       ]
      },
      "execution_count": 19,