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import time
import pyrebase
import pandas as pd
import numpy as np
import requests, json ,codecs
import matplotlib.pyplot as plt
from sklearn.tree import DecisionTreeRegressor
from sklearn.model_selection import train_test_split

%matplotlib inline
dataset = pd.read_csv('Solar.csv')

X = dataset.iloc[:, 1:8].values
y = dataset.iloc[:, -1].values
reg = DecisionTreeRegressor(criterion="mse",min_samples_leaf=5).fit(X, y)

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)