Reading a confusion Matrix... A misclassifier

How to read a confusion matrix

suppose you have 95 records available for prediction. The record has a target to predict whether the person has a particular disease or not.

 the matrix displays as

	Confirmed	Not confirmed
Confirmed	35	20
Not confirmed	25	15

What do you understand?

 I have given summation of the rows and columns

		Predicted values
		Confirmed	Not confirmed	total
Actual values	Confirmed	35	20	55
	Not confirmed	25	15	40
total		60	35	95

Can you get some information?

The green cells are the actuals, while the yellows are the predicted values and the pink are the errors.

Actual values are the one which are tested physically and the results are available on hand. Which means in our case 55 people had the disease and 40 don’t have.

What did the algorithm do ? It has predicted as 60 people who have disease and 35 who do not have.

How to interpret? Out of the 55 people, the algorithm has made a wrong prediction of classifying 20 people as they don’t have a disease. 

Secondly, out of 45 people who do not have disease it has predicted 25 people that they may have a disease, which is a very serious issue.