realizar el método J48 de clasificación supervisada donde ejecute todo cuando carga un archivo csv debe de aparecer como en WEKA

import sys
import pandas as pd
import numpy as np
import sklearn
from sklearn import tree
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split, StratifiedKFold, GridSearchCV
from sklearn.metrics import classification_report, confusion_matrix, accuracy_score

# Loading data
df = pd.read_csv(sys.argv[1])
print(df.head())

#Data information
print(df.info())
print(df.dtypes)

#Data description
print(df.describe(include = 'all'))

#Data preparation
df = df.replace('?', np.nan)
df = df.dropna()

#Data preprocessing
X = df.drop('diagnosis', axis = 1)
y = df['diagnosis']

#Data split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 100)