def dropLabels(collection, feature_type):
	"""
	Drop labels and return features + labels separately

	--args
	collection (pandas DF): dataset containing features + labels
	feature_type (str): determines which labels to drop

	--returns
	labels (pandas series): series containing all label names
	collection_features (pandas DF): dataset containing all feature data
	"""

	if feature_type == "1DCNN":
		labels = collection[["frame", "error", "freenrg", "overlap_score"]]
		collection_features = collection.drop(["frame", "error", "freenrg", "overlap_score"], axis=1)
	else:
		labels = collection[["ddGoffset", "unc"]]
		collection_features = collection.drop(["ddGoffset", "unc"], axis=1)

	return labels, collection_features