applied data science capstone coursera week 4 quiz answers

Check Points: Predictive Analysis

1. Did you standardize the data?

  • Yes
  • No

2. Did you split the data into train and test set?

  • Yes
  • No

3. For each model, did you find the best hyperparameters?

  • Yes
  • No

4. Did you calculate the accuracy of the test data?

  • Yes
  • No

Graded Quiz: Predictive Analysisis

5. How many records were there in the test sample ?

18

6. For Support Vector Machines, what kernel has the best result on the validation dataset.

  • sigmoid
  • rbf
  • linear

7. After selecting the best hyperparameters for the decision tree classifier using the validation data, what was the accuracy achieved on the test data

  • 83.33%
  • 73.33%
  • 93.33%

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