I am solving a random forest regression problem. code is below
import pandas as pd
dataset =pd.read_csv ('C:/random forest/data.csv', delimiter=';')
xrf1 = dataset.iloc[:,0:3].values
RESULTS_FOLDER='C:/random forest'
model_path = os.path.join(RESULTS_FOLDER, 'modele rf1.pkl')
model = joblib.load(model_path)
predrf1 = model.predict(xrf1)
I am getting an error
ValueError: Input contains NaN, infinity or a value too large for dtype(‘float32’).
Here you find the link of my data .
Any help please !