[Chapter 7] Voting classifier achieves lower accuracy than SVC

Hello,

I am trying the first code sample of Chapter 7 which is supposed to demonstrate an accuracy improvement of a Voting Classifier compared to the individual estimators.
However, I am not able to achieve the scores shown in the book. In fact, the standalone SVC outperforms the Voting classifier:
```
LogisticRegression 0.8304
RandomForestClassifier 0.8324
SVC 0.862
VotingClassifier 0.858
```
It's not better with soft voting either:
```
LogisticRegression 0.8304
RandomForestClassifier 0.83
SVC 0.862
VotingClassifier 0.856
```
Is this to be expected? I played around a bit when creating the moons dataset but couldn't make any difference. What are the exact parameters of the dataset used in the book? (n_samples, noise)

Thank you in advance!