import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import accuracy_score

df = pd.read_csv("Soil Moisture, Air Temperature and humidity, and Water Motor onoff Monitor data.AmritpalKaur.csv")
columns = ["Soil Moisture","Temperature","Air Humidity"]
X = df[columns]
y = df['Pump Data']

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
model = GaussianNB()

model.fit(X_train,y_train)

y_pred = model.predict(X_test)

accuracy = accuracy_score(y_test, y_pred)
print("Accuracy:", accuracy)