predict_proba to print specific class probablity
Once you fit your sklearn classifier, it will generally have a classes_ attribute. This attribute contains your class labels (as strings). So you could do something as follows:

probas = model.predict_proba(dataframe)
classes = model.classes_

for class_name, proba in zip(classes, probas):
    print(f"{class_name}: {proba}")


And to find a specific index, you can use numpy's where function:

import numpy as np

class_label = "XYZ"
class_index = np.where(model.classes_ == class_label)

proba = model.predict_proba(dataframe)[class_index]