python
from quads import DecisionTree
data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
target = [0, 1, 0]
model = DecisionTree()
model.fit(data, target)
new_data = [[2, 3, 4], [5, 6, 7]]
prediction = model.predict(new_data)
print(prediction)
python
from quads import NaiveBayes
data = [['good', 'morning'], ['hello'], ['have', 'a', 'nice', 'day']]
target = ['greeting', 'greeting', 'farewell']
model = NaiveBayes()
model.fit(data, target)
new_data = [['good', 'evening'], ['bye', 'bye']]
prediction = model.predict(new_data)
print(prediction)
python
from quads import SupportVectorMachine
data = [[1, 2], [3, 4], [5, 6]]
target = [0, 1, 0]
model = SupportVectorMachine()
model.fit(data, target)
new_data = [[2, 3], [4, 5]]
prediction = model.predict(new_data)
print(prediction)
