Medical-proj-ml-app

1_Regression/Regression Capstone Projects/Awab.project/.gradio/flagged/dataset1.csv

@@ -0,0 +1,3 @@
+Age,Sex,BMI,Children,Smoker,Region,output,timestamp
+30,male,25,0,yes,northeast,"💰 Estimated Insurance Cost: $18,737.56",2026-03-15 14:54:27.843250
+30.8,male,33.1,3,yes,northeast,"💰 Estimated Insurance Cost: $38,627.02",2026-03-15 14:58:39.829033

1_Regression/Regression Capstone Projects/Awab.project/Mecidal_Insurance_cost_proj.ipynb

@@ -0,0 +1,19 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8086a8c9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

1_Regression/Regression Capstone Projects/Awab.project/models/v1_20260314_150908/model_card.json

@@ -0,0 +1,73 @@
+{
+  "model_name": "Gradient Boosting",
+  "model_version": "v1_20260314_150908",
+  "timestamp": "20260314_150908",
+  "dataset": "Medical Insurance ",
+  "target": "best cost ($M)",
+  "performance": {
+    "test_r2": 0.8810170154273175,
+    "test_rmse": 4297.901513996594,
+    "test_mae": 2298.6250502568555,
+    "train_r2": 0.9250922359620839,
+    "val_r2": 0.8228531789944683,
+    "cv_r2_mean": 0.8586244380387823,
+    "cv_r2_std": 0.014641201366676935
+  },
+  "data_info": {
+    "total_samples": 1338,
+    "train_samples": 856,
+    "val_samples": 214,
+    "test_samples": 268,
+    "n_features": 17,
+    "feature_names": [
+      "age",
+      "sex",
+      "bmi",
+      "children",
+      "smoker",
+      "region"
+    ]
+  },
+  "model_config": {
+    "model_class": "Gradient Boosting",
+    "hyperparameters": {
+      "alpha": 0.9,
+      "ccp_alpha": 0.0,
+      "criterion": "friedman_mse",
+      "init": null,
+      "learning_rate": 0.05,
+      "loss": "squared_error",
+      "max_depth": 4,
+      "max_features": null,
+      "max_leaf_nodes": null,
+      "min_impurity_decrease": 0.0,
+      "min_samples_leaf": 1,
+      "min_samples_split": 5,
+      "min_weight_fraction_leaf": 0.0,
+      "n_estimators": 100,
+      "n_iter_no_change": null,
+      "random_state": 42,
+      "subsample": 0.9,
+      "tol": 0.0001,
+      "validation_fraction": 0.1,
+      "verbose": 0,
+      "warm_start": false
+    }
+  },
+  "preprocessing": {
+    "steps": [
+      "AdvancedFeatureEngineering (6 new features)",
+      "OutlierHandling (IQR method)",
+      "RobustScaler (outlier-resistant scaling)"
+    ],
+    "outlier_factor": 1.5
+  },
+  "deployment": {
+    "status": "Ready for Production",
+    "recommendations": [
+      "Monitor prediction errors in production",
+      "Retrain quarterly with new data",
+      "Alert if RMSE exceeds $0.50M"
+    ]
+  }
+}

1_Regression/Regression Capstone Projects/Awab.project/models/v1_20260314_150908/requirements.json

@@ -0,0 +1,9 @@
+{
+  "python": "3.8+",
+  "packages": {
+    "scikit-learn": "1.0+",
+    "numpy": "1.20+",
+    "pandas": "1.3+",
+    "joblib": "1.0+"
+  }
+}