TensorFlow Classification Model

This repository contains a classification model built using TensorFlow. The model is trained on a dataset with 11 features to classify data into one of 5 categories. The implementation includes data preprocessing, model training, evaluation, and suggestions for further improvement.

Features

• Preprocessed dataset to remove invalid columns and handle missing values.
• Multi-class classification using a TensorFlow Sequential model.
• Training, validation, and evaluation metrics for model performance.

Dataset

• The dataset contains:
• 1986 samples for testing.
• 11 features per sample.
• 5 output classes, represented in a one-hot encoded format.

Training Output

• Final Training Accuracy: 83.18%
• Final Training Loss: 0.6030

Evaluation Output

• Test Accuracy: 82.28%
• Test Loss: 0.6186

License

This project is licensed under the MIT License. Feel free to use and modify it.