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• Safety-critical: Safety-critical refers to systems or processes where failure could result in harm to people, damage to equipment or the environment, or loss of critical data. In the context of data science and artificial intelligence, safety-critical syste ... Read More >>
• Recall: Recall is a metric used in machine learning to evaluate the performance of a classification model. It measures the proportion of actual positive cases that were correctly identified by the model. In other words, it calculates the percentage ... Read More >>
• Variances: Variances refer to the measure of how spread out a set of data is. In data science, variances are used to determine the variability of a dataset and how much the data points deviate from the mean. It is calculated by taking the average of t ... Read More >>