邓翔宇 Deng Xiangyu Desjajja

## split_dataset.py
import numpy as np
from sklearn.model_selection import train_test_split

# load filepath to list X, labels to list y

# test_size appoints the ratio(0,1), random_state gives the random seed
X_train, X_test, y_train, y_test = train_test_split(
	 X, y, test_size=0.33, random_state=42)

# define dataset class, pass two lists in

## notion_database
if(ceil((dateBetween(end(prop("Date")), now(), "hours") + hour(now())) / 24) < 0, "🔒️ 🚧Expired", #more branches)
	import numpy as np
	from sklearn.model_selection import train_test_split

	# load filepath to list X, labels to list y

	# test_size appoints the ratio(0,1), random_state gives the random seed
	X_train, X_test, y_train, y_test = train_test_split(
	X, y, test_size=0.33, random_state=42)

	# define dataset class, pass two lists in