Benson Idahosa University

CSC 324

Practice 353+ past questions for CSC 324 at Benson Idahosa University. Organized by topic with explanations. Free preview on Testwiz.

353+ questions56 topics300 LevelTheory questionsTopic summaries

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About CSC 324 at Benson Idahosa University

CSC 324 is a 300 Level course at Benson Idahosa University. Students preparing for CSC 324 exams on Testwiz get 353+ practice questions across 56 topics, including theory questions and topic summaries.

Instead of cramming the night before, students who practice by topic — Regression vs Classification Models, Ordinary Least Squares (OLS) Estimation, Maximum Likelihood Estimation (MLE), and more — build real familiarity with how Benson Idahosa University tests CSC 324, catch weak spots early with Testwiz's analytics, and walk into the exam with actual reps under their belt.

Topics covered

Regression vs Classification ModelsOrdinary Least Squares (OLS) EstimationMaximum Likelihood Estimation (MLE)Predictive Modeling for GDPPredictive Modeling for Heart DiseaseStatistical Hypothesis Testing vs Feature ImportanceModel Evaluation: Correlation and R-squaredModel Deployment with StreamlitMultiple Linear Regression (MLR)Logistic Regression (LR)Foundations of Machine LearningStatistical Learning+44 more

Sample questions

1. What is the primary difference between a regression model and a classification model?

a.Both models predict continuous outcomes, but classification models use a different loss function.

b.Regression models predict continuous numerical outcomes, while classification models predict categorical outcomes.

c.Regression models predict categorical outcomes, while classification models predict continuous numerical outcomes.

d.Both models predict categorical outcomes, but regression models are only used for binary data.

2. In the context of Multiple Linear Regression (MLR), what does Ordinary Least Squares (OLS) estimation minimize?

a.The maximum difference between observed and predicted values.

b.The sum of the absolute differences between observed and predicted values.

c.The product of the observed and predicted values.

d.The sum of the squared differences between observed and predicted values.

3. Which estimation method is used to find the coefficients for a Logistic Regression model?

a.Gradient Descent with a mean squared error loss.

b.Ordinary Least Squares (OLS) estimation.

c.Principal Component Analysis (PCA).

d.Maximum Likelihood Estimation (MLE).

4. In the context of the provided material, what is the primary goal of using a machine learning model for the Nigeria GDP dataset?

a.To reduce the dimensionality of the macroeconomic indicators.

b.To classify the economic status of Nigeria into different categories.

c.To predict whether Nigeria's GDP will increase based on macroeconomic indicators.

d.To cluster Nigerian states based on their economic performance.

5. What is the primary objective of the predictive model built for the Heart Disease dataset?

a.To predict the probability that a patient will have heart disease.

b.To predict the survival time of a patient after diagnosis.

c.To predict the blood pressure level of a patient with heart disease.

d.To predict the exact age at which a patient will develop heart disease.

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Testwiz has 353+ CSC 324 practice questions for Benson Idahosa University, organized across 56 topics, including theory questions. Sign up free to start practicing.

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What topics does CSC 324 cover on Testwiz?

CSC 324 on Testwiz covers Regression vs Classification Models, Ordinary Least Squares (OLS) Estimation, Maximum Likelihood Estimation (MLE), and more. Practice on Testwiz to see the full topic breakdown and sample questions.