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best_clf = genetic_algorithm(clf, params, X_train, y_train) NameError: name 'genetic_algorithm' is n
Hi Everyone
I have this algorithm
Can you help
Thank you.
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 helpThank you.
0
Best Answer
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OptionsMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,512 RM Data ScientistHi,well - where should this come from? You are not importing it.BR,Martin- Sr. Director Data Solutions, Altair RapidMiner -
Dortmund, Germany1
Answers
Dortmund, Germany