Performance Evaluation Metrics

This chapter provides introductions and tutorials on performance evaluation metrics. Topics include introduction of MSE (Mean Squared Error), CI (Concordance Index) and PCC (Pearson Correlation Coefficient).

MSE (Mean Squared Error)

CI (Concordance Index)

PCC (Pearson Correlation Coefficient)

Takeaways:

Notes on the output:

Table of Contents

 About This Book

 Deep Playground for Classical Neural Networks

 Building Neural Networks with Python

 Simple Example of Neural Networks

 TensorFlow - Machine Learning Platform

 PyTorch - Machine Learning Platform

 Gradio - ML Demo Platform

 CNN (Convolutional Neural Network)

 RNN (Recurrent Neural Network)

 GNN (Graph Neural Network)

 GAN (Generative Adversarial Network)

Performance Evaluation Metrics

 References

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