Earthquake Prediction Using Python
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
data = pd.read_csv('earthquake_data.csv')
x = data.drop('earthquake_occured',axis=1)
y = data['earthquake_occured']
VjRasheed
commented
1 year ago
Earthquake Prediction Using Python import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score
data = pd.read_csv('earthquake_data.csv')
x = data.drop('earthquake_occured',axis=1) y = data['earthquake_occured']
x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.2,random_state=42) clf = RandomForestClassifier()
clf.fit(x_train,y_train)
y_pred = clf.predict(x_test)
accuracy = accuracy_score(y_test,y_pred) print(f"Accuracy:{accuracy}")