best_clf = genetic_algorithm(clf, params, X_train, y_train) NameError: name 'genetic_algorithm' is n

New Altair Community Member

Updated Nov 5, 2024 by Jocelyn

Hi Everyone
I have this algorithm

import pandas as pd

from sklearn.svm import SVC

from sklearn.model_selection import train_test_split

from sklearn.metrics import accuracy_score

# Load the KDDcup 1999 dataset

df = pd.read_csv("kddcup99.csv")

# Split the dataset into training and test sets

X_train, X_test, y_train, y_test = train_test_split(df.drop("label", axis=1), df["label"], test_size=0.2)

# Create a support vector classifier

clf = SVC()

# Use the genetic algorithm to optimize the classifier hyperparameters

params = {

"C": [1, 10, 100, 1000],

"kernel": ["linear", "rbf"],

"gamma": [0.01, 0.1, 1, 10],

}

best_clf = genetic_algorithm(clf, params, X_train, y_train)

# Train the classifier on the training set

best_clf.fit(X_train, y_train)

# Evaluate the classifier on the test set

y_pred = best_clf.predict(X_test)

print(accuracy_score(y_test, y_pred))

When executing, I get this error:

`best_clf = genetic_algorithm(clf, params, X_train, y_train) NameError: name 'genetic_algorithm' is not defined.`

Can you help
Thank you.