# sifat192/diabetes-prediction-ml architecture

> Architecture diagram of the GitHub repository sifat192/diabetes-prediction-ml, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-30). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/sifat192/diabetes-prediction-ml
- Repository: https://github.com/sifat192/diabetes-prediction-ml

## Overview

This is a small notebook-based diabetes classification project. Its documented workflow takes patient data through exploration, preprocessing and feature encoding, a train/test split, logistic-regression training, and evaluation with accuracy and a confusion matrix. The notebook and dataset are present in the tree, but the notebook itself was not sampled; the workflow links below are supported by the README rather than inspected implementation calls.

Main entry points: [`diabetes_prediction_model.ipynb`](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb) (Explore Data), [`diabetes_prediction_dataset.csv`](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_dataset.csv) (Patient Dataset)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_data["Patient Data"]
  node_dataset["Patient Dataset"]
end

subgraph group_workflow["Model Workflow"]
  node_exploration["Explore Data"]
  node_preprocessing["Preprocess Features"]
  node_split["Train/Test Split"]
  node_logistic["Logistic Regression"]
end

subgraph group_evaluation["Evaluation"]
  node_metrics["Evaluate Model"]
  node_results["Performance Metrics"]
end

node_analyst(("Analyst"))

node_analyst -->|"runs notebook"| node_exploration
node_dataset -->|"loads and explores"| node_exploration
node_exploration -->|"precedes"| node_preprocessing
node_preprocessing -->|"precedes"| node_split
node_split -->|"trains"| node_logistic
node_logistic -->|"evaluates"| node_metrics
node_metrics -->|"reports"| node_results

click node_dataset "https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_dataset.csv"
click node_exploration "https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb"
click node_preprocessing "https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb"
click node_split "https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb"
click node_logistic "https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb"
click node_metrics "https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb"
click node_results "https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_dataset toneBlue
class node_exploration,node_preprocessing,node_split,node_logistic toneAmber
class node_metrics,node_results toneMint
class node_analyst toneIndigo
```

## Components

### Patient Data

- [Patient Dataset](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_dataset.csv): `diabetes_prediction_dataset.csv`

### Model Workflow

- [Explore Data](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb): `diabetes_prediction_model.ipynb`
- [Preprocess Features](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb): `diabetes_prediction_model.ipynb`
- [Train/Test Split](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb): `diabetes_prediction_model.ipynb`
- [Logistic Regression](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb): `diabetes_prediction_model.ipynb`

### Evaluation

- [Evaluate Model](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb): `diabetes_prediction_model.ipynb`
- [Performance Metrics](https://github.com/sifat192/diabetes-prediction-ml/blob/main/diabetes_prediction_model.ipynb): `diabetes_prediction_model.ipynb`

### Other components

- **Analyst**

## Connections

- Analyst → Explore Data: runs notebook (evidence: `README.md`)
- Patient Dataset → Explore Data: loads and explores (evidence: `README.md`)
- Explore Data → Preprocess Features: precedes (evidence: `README.md`)
- Preprocess Features → Train/Test Split: precedes (evidence: `README.md`)
- Train/Test Split → Logistic Regression: trains (evidence: `README.md`)
- Logistic Regression → Evaluate Model: evaluates (evidence: `README.md`)
- Evaluate Model → Performance Metrics: reports (evidence: `README.md`)