Quiz -2: Predictive Modeling and Analytics - Great Learning 3/6 Question No: 4 Correct Answer Observe the below table and calculate- Sensitivity Actual Positive Actual Negative Predicted Positive 2300 180 Predicted Negative 200 820 Question No: 5 Correct Answer Which of the below is true for a good model? 0.79 0.89 You Selected 0.78 0.82 0.92 You Selected 0.96 There should be a very high correlation between two independent variables. There should be a very low correlation between two independent variables. You Selected There should be a very low correlation between a dependent and an independent variables. None of the mentioned.
5/26/2020 Quiz -2: Predictive Modeling and Analytics - Great Learning 4/6 Question No: 6 Correct Answer Which of the following option is true? Question No: 7 Correct Answer The logit function is ________________ Question No: 8 Correct Answer Logistic regression assumes a linear relationship between the log odds ratio of an event and independent predictors. Linear Regression errors values has to be normally distributed but in case of Logistic Regression it is not the case You Selected Logistic Regression errors values has to be normally distributed but in case of Linear Regression it is not the case Both Linear Regression and Logistic Regression error values have to be normally distributed
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- Winter '16
- Archana Chauhan
- Regression Analysis, Logit, Linear Regression errors values