Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
different classification tasks. Can be useful in articles to explain how models are assessed: accuracy_score: Proportion of correct predictions. precision_score: Proportion of true positives among predicted positives. confusion_matrix: Visualization of how many instances were classified correctly