Example 4.4: After training and testing, consider that your Machine Learning model produced the following confusion...

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Example 4.4: After training and testing, consider that your Machine Learning model produced the following confusion matrix: Predicted TP +ve -ve FN Expected +ve 45 15 -ve 8 32 FP TN What is the model accuracy and what is your F1-score? Explain the values that you have achieved. Example 4.4: After training and testing, consider that your Machine Learning model produced the following confusion matrix: Predicted TP +ve -ve FN Expected +ve 45 15 -ve 8 32 FP TN What is the model accuracy and what is your F1-score? Explain the values that you have achieved.

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The detailed answer for the above question is provided below Step1of3 Accuracy and F1score are two common metrics used to evaluate the performance of ... View the full answer