给定一组数据，生成一个可以识别数据模式的分类器。


1. age：23，income：80k，hasCar：True，maritalStatus：single
2. age：35，income：120k，hasCar：False，maritalStatus：married
3. age：50，income：65k，hasCar：True，maritalStatus：divorced
4. age：28，income：40k，hasCar：False，maritalStatus：single
The provided data includes age, income, hasCar, and maritalStatus features for four individuals. A classifier can be trained using machine learning algorithms to recognize patterns in the data and determine the relationships between the features and the target variable. The target variable should be defined beforehand, as it's not clear what decision the classifier should make based on this dataset.