LabelPowerset.py

!pip install scikit-multilearn
!pip install scikit-learn
from sklearn.linear_model import LogisticRegression
from skmultilearn.problem_transform import LabelPowerset
from sklearn.metrics import f1_score,accuracy_score
lp_classifier = LabelPowerset(LogisticRegression())
lp_classifier.fit(X_train, y_train)
lp_predictions = lp_classifier.predict(x_test)
print("Accuracy = ",accuracy_score(y_test,lp_predictions))
print("F1 score = ",f1_score(y_test,lp_predictions, average="micro"))