Dealing with data with no classes
In absence of class labels, your best choices are either an unsupervised machine learning approach (e.g., k-means clustering), or leverage descriptive statistics to see whether you can find any pattern in the data have. For example, looking at the distribution of your features may reveal outliers that could be associated with your outcome of interest.