Graded Quiz: Predictive Analysisis :Applied Data Science Capstone (IBM Data Analyst Professional Certificate) Answers 2025 1. Question 1 How many records were there in the test sample? ✅ 18(Enter: 18) Explanation: The dataset of 90 Falcon 9 launches is split using an 80/20 rule in the lab:90 × 0.2 = 18 test records. 2. Question 2 For Support Vector Machines, which kernel has the best result on the validation dataset? ❌ rbf ✅ linear ❌ sigmoid Explanation: In the ML lab, the linear SVM kernel gives the highest validation accuracy compared to RBF and sigmoid. 3. Question 3 After selecting the best hyperparameters for the Decision Tree classifier, what was the accuracy on the test data? ❌ 83.33% ❌ 73.33% ✅ 93.33% Explanation: Running the final tuned Decision Tree model in the lab yields a 93.33% test accuracy on the first run. 🧾 Summary Table Q# Correct Answer Key Concept 1 18 Test set = 20% of 90 records 2 linear kernel SVM linear performs best on validation set 3 93.33% Final tuned Decision Tree accuracy
1. Question 1 How many records were there in the test sample? ✅ 18(Enter: 18) Explanation: The dataset of 90 Falcon 9 launches is split using an 80/20 rule in the lab:90 × 0.2 = 18 test records. 2. Question 2 For Support Vector Machines, which kernel has the best result on the validation dataset? ❌ rbf ✅ linear ❌ sigmoid Explanation: In the ML lab, the linear SVM kernel gives the highest validation accuracy compared to RBF and sigmoid. 3. Question 3 After selecting the best hyperparameters for the Decision Tree classifier, what was the accuracy on the test data? ❌ 83.33% ❌ 73.33% ✅ 93.33% Explanation: Running the final tuned Decision Tree model in the lab yields a 93.33% test accuracy on the first run. 🧾 Summary Table Q# Correct Answer Key Concept 1 18 Test set = 20% of 90 records 2 linear kernel SVM linear performs best on validation set 3 93.33% Final tuned Decision Tree accuracy
1. Question 1 How many records were there in the test sample? ✅ 18(Enter: 18) Explanation: The dataset of 90 Falcon 9 launches is split using an 80/20 rule in the lab:90 × 0.2 = 18 test records. 2. Question 2 For Support Vector Machines, which kernel has the best result on the validation dataset? ❌ rbf ✅ linear ❌ sigmoid Explanation: In the ML lab, the linear SVM kernel gives the highest validation accuracy compared to RBF and sigmoid. 3. Question 3 After selecting the best hyperparameters for the Decision Tree classifier, what was the accuracy on the test data? ❌ 83.33% ❌ 73.33% ✅ 93.33% Explanation: Running the final tuned Decision Tree model in the lab yields a 93.33% test accuracy on the first run. 🧾 Summary Table Q# Correct Answer Key Concept 1 18 Test set = 20% of 90 records 2 linear kernel SVM linear performs best on validation set 3 93.33% Final tuned Decision Tree accuracy