u/Due_Click3765

Lately, it feels like the screentime for female leads in TFI has been shrinking more and more to the point where they’re practically irrelevant to the story. Most of them are reduced to being eye candy or just the ML’s romantic interest, without any meaningful character arc or impactful scenes.

If the entire focus is only going to be on hyping up the male lead, then why even include a female lead at all? Why introduce a character who adds nothing substantial to the narrative? Why can't prominent female actors take a stand against this?

Character artists are also getting sidelined these days. Most movies seem to have just one or two max female characters with minimal importance. We are barely seeing character artists to the point that we are even forgetting they exist in the movies.

TFI is increasingly starting to feel like a manosphere, and honestly, it’s becoming worrisome.

I want to get a new pair of jeans, but I'm not sure which style to go for. I don't want to look stout. My size is US 8 or 28-30in.

I came across this question during an assessment:

A telecommunications company predicts customer churn based on usage patterns, customer demographics, and customer service interactions. However, the company suspects some input variables may have outliers that could influence the model's performance.

Which technique can help mitigate the influence of outliers in multiple linear regression?

From what I can remember, the options were

1. Elastic Net Regression

2. Isolation forest?

3. Option

4. Option

I chose elastic net as answer but it was marked incorrect. ChatGPT and Gemini chose elastic net as well.

What is the correct answer and why?

I came across this question during an assessment:

A telecommunications company predicts customer churn based on usage patterns, customer

demographics, and customer service interactions. However, the company suspects some input

variables may have outliers that could influence the model's performance.

Which technique can help mitigate the influence of outliers in multiple linear regression?

From what I can remember, the options were

1. Elastic Net Regression

2. Isolation forest?

3. Option

4. Option

I chose elastic net as answer but it was marked incorrect. ChatGPT and Gemini chose elastic net as well.

What is the correct answer and why?