What is an F-score, What is a “Good” F-score, and How to Use it in Machine Learning
Channel: Ashleigh Faith
Date: 2020-12-02

What is an F-score, what is an F1 score, and what is an F-measure? How is precision different than recall, and how does recall and precision affect f-score? Ok, now I have calculated f-score, but how do I know if it's any good!?!? 

Well, f-scores are used to understand how confident you can be in your machine learning models, specifically with classification tasks such as cyber threats, auto-indexing, tumor identification, and more, and while each use case will have a different confidence threshold, in this video I will share some rules-of-thumb on how to decide if your f-score, and models, are up for the task.

Stay in touch:
LinkedIn: https://www.linkedin.com/in/ashleighnfaith/
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Resources:
1. Accuracy vs. F1-Score: https://medium.com/analytics-vidhya/accuracy-vs-f1-score-6258237beca2
2. What is the F-score?: https://deepai.org/machine-learning-glossary-and-terms/f-score
3. Accuracy, Recall, Precision, F-Score & Specificity, which to optimize on?: https://towardsdatascience.com/accuracy-recall-precision-f-score-specificity-which-to-optimize-on-867d3f11124
4. Analyzing machine-learning model performance: https://cloud.ibm.com/docs/knowledge-studio?topic=knowledge-studio-evaluate-ml
5. How to Calculate Precision, Recall, F1, and More for Deep Learning Models: https://machinelearningmastery.com/how-to-calculate-precision-recall-f1-and-more-for-deep-learning-models/
6. https://machinelearningmastery.com/how-to-know-if-your-machine-learning-model-has-good-performance/
7. https://machinelearningmastery.com/statistical-significance-tests-for-comparing-machine-learning-algorithms/
8. Evaluating Deep Learning Models: The Confusion Matrix, Accuracy, Precision, and Recall: https://www.kdnuggets.com/2021/02/evaluating-deep-learning-models-confusion-matrix-accuracy-precision-recall.html