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code to calculate accuracy in python after split data and selection feature

Bo Laq answered on August 9, 2023 Popularity 1/10 Helpfulness 1/10

answer code to calculate accuracy in python after split data and selection feature

code to calculate accuracy in python after split data and selection feature

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from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.feature_selection import SelectKBest, chi2
from sklearn.linear_model import LogisticRegression

# Assuming X_train, X_test, y_train, y_test are your split data
# And you've performed feature selection using SelectKBest with chi-squared
# Replace this with your actual data and feature selection method
selector = SelectKBest(score_func=chi2, k=10)
X_train_selected = selector.fit_transform(X_train, y_train)
X_test_selected = selector.transform(X_test)

# Assuming you have trained and predicted using a classifier like LogisticRegression
# Replace this with your actual classifier and predictions
clf = LogisticRegression()
clf.fit(X_train_selected, y_train)
y_pred = clf.predict(X_test_selected)

accuracy = accuracy_score(y_test, y_pred)

print(f"Accuracy: {accuracy:.4f}")

Popularity 1/10 Helpfulness 1/10 Language python

Source: chat.openai.com

Tags: python selection

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Contributed on Aug 09 2023

Bo Laq

0 Answers Avg Quality 2/10

code to calculate accuracy in python after split data and selection feature

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