THIS IS NOT A GRADED ASSIGNMENT , THIS IS PRACTICE.After doing the instructions in the picture:Compute the accuracy, sensitivity (TPR), specificity (TNR), and precision for the confusion matrix. Show your work please and write the results. In a dataset, there are 1000 samples from apples and oranges. The dataset is split into two parts as 90% and 10% fortraining and testing, respectively. In the testing data, there are equal numbers of for apples and oranges. A supervisedmachine learning algorithm is trained to detect apples and oranges using the training dataset. When it is tested withthe testing data, it finds the following results: Answer with an integer, no spaces.• It classifies 5 apples as oranges.• It classifies 40 oranges as oranges.Fill out the confusion matrix for the given information above:Model 1Predicted ClassApple (+)Actual ClassApple (+)Oranges (-)aСWhat are the a, b, c, d values in the confusion matrix?a: ?b: ?c:?d:?Oranges (-)bd

Since 5 actual apples are classified as oranges hence b = 5similarly 40 oranges are classified as 40…

Answered: In a dataset, there are 1000 samples…

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