Final Flashcards

1
Q

Logistic Regression

A

Used when the dependent variable (Target) is categorical

Predict whether email is spam (1) or (0)

  • Outcome variable is
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2
Q

What does the coefficient 𝛽 represent in Logistic Regression?

A

The weight of the predictor value

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3
Q

The logistic response function ensures probabilities are between:

A

0 and 1

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4
Q

What does Multinomial Logistic Regression deal with?

A

Ordered categorical outcomes

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5
Q

In Logistical Regression what is logit?

A

The probability that can exceed 1

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6
Q

What is the range for logit?

A

-oo to + oo
- Probabilities are between 0 and 1

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7
Q

What is the primary assumption of Logistic Regression?

A

Linear relationship between predictors and the logit

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8
Q

Which type of logistic regression is used when the response variable has three or more unordered categories?

A

Multinomial Logistic Regression

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9
Q

What does the odds ratio represent in Logistic Regression?

A

The change in odds associated with a one-unit increase in a predictor variable

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10
Q

Which of the following best describes a “cutoff value” in Logistic Regression?

A

A threshold to decide between predicted classes

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11
Q

What does the coefficient of a predictor variable signify in Logistic Regression?

A

The expected change in logit for a one-unit increase in the predictor variable

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12
Q

What does the coefficient 𝛽1 in Logistic Regression signify?

A

The change in log-odds for a one-unit increase in the predictor

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13
Q

What is the purpose of the logit function in Logistic Regression?

A

To map logits to probabilities

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14
Q

Which of the following tools can help determine the best cutoff value in Logistic Regression?

A

Confusion matrix

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15
Q

Which regularization technique penalizes the sum of the absolute values of the coefficients in Logistic Regression?

A

Lasso Regression

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16
Q

What does a confusion matrix evaluate in Logistic Regression?

A

Classification performance

17
Q

Which of the following is not a metric for evaluating a Logistic Regression model?

A

R-Squared

18
Q

What does a likelihood ratio test assess in Logistic Regression?

A

The overall fit of the model compared to a simpler model

19
Q
A