Practical Data Science using Python - Logistic Regression - Model Optimization 2

Practical Data Science using Python - Logistic Regression - Model Optimization 2

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial discusses the process of determining the optimum probability threshold for predictions in a logistic regression model, focusing on a telecom churn prediction case. It explores the tradeoffs between accuracy, sensitivity, specificity, precision, and recall, and explains how to choose the right threshold based on data balance. The tutorial also covers making predictions on test data using the chosen threshold and recalculating metrics to evaluate model performance.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the initial optimum probability threshold discussed in the video?

0.2

0.3

0.5

0.4

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is NOT recalculated after changing the probability threshold?

F1 Score

Precision

Specificity

Sensitivity

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the precision-recall curve in the context of this video?

To calculate the accuracy of the model

To find the optimum probability threshold

To determine the best model architecture

To visualize the data distribution

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is there a dilemma between choosing a threshold of 0.3 and 0.4?

Due to conflicting results from different metrics

Because of a lack of data

Due to a software error

Because both thresholds yield the same results

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What factor influences the decision to use the precision-recall curve threshold?

Moderate class imbalance

Equal class distribution

High class imbalance

Low data quality

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the new probability threshold determined by the precision-recall tradeoff?

0.5

0.4

0.3

0.2

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the final accuracy score achieved after applying the new threshold?

77.9%

76%

85%

80%

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