overfitting import libraries

import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_digits
from sklearn.preprocessing import OrdinalEncoder


columns=["Sex","Length","Diameter","Height","Whole_weight","Shucked_weight","Viscera_weight","Shell_weight",
         "Rings"]

df=pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/abalone/abalone.data",names=columns)
df['Sex']=df['Sex'].apply(lambda x: 0 if x=='M' else 1)
y=df.pop('Rings')


X_train, X_test, y_train, y_test = train_test_split(df, y, random_state=42,test_size=0.1)
X_train