help with these:
Posted: Fri May 20, 2022 2:49 pm
help with these:
In logistic regression, we model the odds ratio (p/1-p) as a linear function, where p is the probability that Y = 1. O True False
For the same dataset, you have evaluated the performance of two classification models: (1) Random forest (Red) and (2) Logistic regression (Blue) using Receiver Operating Characteristic (ROC) curves. Based on the given figure, which of the following classification models would you take into consideration for building the final model? 1.00 - 0.75 - True Positive Rate 0.50 - model Random Forest Logistic Regression 0.25 0.00 - 0.00 0.25 0.75 1.00 0:50 False Positive Rate Random forest Both of them Logistic regression None of them
Logistic regression can be used as a classifier by assigning class labels based on a pre-established threshold for the class probability retuned. True O False
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For the same dataset, you have evaluated the performance of two classification models: (1) Random forest (Red) and (2) Logistic regression (Blue) using Receiver Operating Characteristic (ROC) curves. Based on the given figure, which of the following classification models would you take into consideration for building the final model? 1.00 - 0.75 - True Positive Rate 0.50 - model Random Forest Logistic Regression 0.25 0.00 - 0.00 0.25 0.75 1.00 0:50 False Positive Rate Random forest Both of them Logistic regression None of them
Logistic regression can be used as a classifier by assigning class labels based on a pre-established threshold for the class probability retuned. True O False