Machine learning python

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Machine learning python

import pandas as pd
from sklearn.tree import DecisionTreeClassifier

hashdata = pd.read_csv("filename.csv")
X = hashdata.drop(columns=["output_column_name"])
y = hashdata.drop(columns=["input_column_name"])
model=DecisionTreeClassifier()
model.fit(X,y)
predictions=model.predict([[input]])
print(predictions)

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