let us consider the following validation data set confusion matrix is the result of a logistic regression model which includes if the patient will have a heart attack as a dependent variable which is connected to the range of independent variables. In this model y=1 indicates heart attack and y=0 indicates not having a heart attack. Cutoff value is considered 50 per cent. Calculate sensitivity, specificity and overall error of the model. Considering this confusion matrix do you think shall we make a change in the cut-off value? Justify your answer. Predicted class 1 0 Actual class 1 0 2700 70 1000 3068
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
let us consider the following validation data set confusion matrix is the result of a logistic regression model which includes if the patient will have a heart attack as a dependent variable which is connected to the range of independent variables. In this model y=1 indicates heart attack and y=0 indicates not having a heart attack. Cutoff value is considered 50 per cent.
- Calculate sensitivity, specificity and overall error of the model.
- Considering this confusion matrix do you think shall we make a change in the cut-off value? Justify your answer.
|
|
|
Predicted class |
|
|
|
|
1 |
0 |
|
Actual class |
1 0 |
2700 70 |
1000 3068 |
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