Train / Test Split Calculator
The Train / Test Split Calculator helps you divide your dataset into training and testing sets using commonly accepted ratios in machine learning. This step ensures that your model is evaluated fairly on unseen data.
Why Train-Test split is important:
• Training data teaches the model patterns
• Testing data evaluates real-world performance
• Prevents overfitting and biased results
• Training data teaches the model patterns
• Testing data evaluates real-world performance
• Prevents overfitting and biased results
