User Guide

How to Use the Application

Step 1: Upload Dataset

1. Click “Choose .pkl File”

2. Select your dataset file

3. Dataset must have columns: x1, x2, x3, x4, x5, y

Dataset Format

Your pickle file should be a dictionary:

{
    "X": numpy array of features (n_samples, 5),
    "y": numpy array of targets (n_samples,),
    "metadata": {
        "feature_names": ["x1", "x2", "x3", "x4", "x5"],
        "target_name": "y"
    }
}

Step 2: Train Model

1. Set number of hidden layers (1-5)

2. Set neurons per layer (1-64)

3. Set number of epochs (5-200)

4. Set learning rate (0.0001-0.001)

5. Click “Start Training”

6. View results and plots

Step 3: Make Predictions

1. Adjust sliders for x1, x2, x3, x4, x5

2. Click “Predict”

3. View predicted value

Reset

Click “Reset” to clear everything and start over.