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%