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R And Python Programming Languages For Predictive Modelling Howcan You Assess A Good Logistic Model?

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By Author: Suvardhan Raju
Total Articles: 4
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> How can you assess a good logistic model?
There are various methods to assess the results of a logistic regression analysis-

Using Classification Matrix to look at the true negatives and false positives.
Concordance that helps identify the ability of the logistic model to differentiate between the event happening and not happening.
Lift helps assess the logistic model by comparing it with random selection.

R Interview Questions

> Can you write the formula to calculat R-square?
R-Square can be calculated using the below formular –

1 – (Residual Sum of Squares/ Total Sum of Squares)

> Compare R and Python programming languages for Predictive Modelling.
Python is Better
R Language is Better
Model Building Both are Similar Both are Similar
Model Interpretability Not better than R. R is better
Production Python is Better Not better than Python
Community Support Not better than R. R has good community support over Python.
Data Science Libraries Both are similar. Both are similar
Data Visualizations Not better than R R has good data visualizations libraries and tools.
Learning Curve Learning Python is easier than learning R. R has a steep learning curve.

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