Archives for metrics
Evaluation of a machine learning model is crucial to measure its performance. Numerous metrics are used in the evaluation of a machine learning model. Selection of the most suitable metrics is important to fine-tune a model based on its performance. In this article, we discuss the mathematical background and application of evaluation metrics in classification…
The post Python Code for Evaluation Metrics in ML/AI for Classification Problems appeared first on Analytics India Magazine.
Deep reinforcement learning algorithms are considerably sensitive to implementation details, hyper-parameters, choice of environments, and even random seeds. The variability in the execution can put reproducibility at stake. To expose the underlying weaknesses of the RL models, the researchers at Google research presented a number of metrics and also demonstrated with the help of these…
The post Top Evaluation Metrics For Reinforcement Learning appeared first on Analytics India Magazine.
Researchers at the University of California, Berkeley and the Boston University have dug deep into the process of how deep neural networks generate ‘hallucinations’ while trying to create captions for images. By hallucinating we mean that neural networks often give strange outputs and predict weird results. Hence the researchers are now working on preventing this […]
The post What Makes Neural Networks Hallucinate? appeared first on Analytics India Magazine.