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![Working with Confusion Matrix in Machine Learning using Python [scikit learn]](https://i0.wp.com/jscommands.com/wp-content/uploads/2024/08/1723258126_maxresdefault.jpg?resize=400%2C266&ssl=1)
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![Function Title: Create Confusion Matrix
def create_confusion_matrix(actual, predicted, classes):
matrix = [[0 for _ in range(len(classes))] for _ in range(len(classes))]
for i in range(len(actual)):
actual_index = classes.index(actual[i])
predicted_index = classes.index(predicted[i])
matrix[actual_index][predicted_index] += 1
return matrix](https://i0.wp.com/jscommands.com/wp-content/uploads/2024/03/1710174224_maxresdefault.jpg?resize=400%2C266&ssl=1)
Function Title: Create Confusion Matrix def create_confusion_matrix(actual, predicted, classes): matrix = [[0 for _ in range(len(classes))] for _ in range(len(classes))] for i in range(len(actual)): actual_index = classes.index(actual[i]) predicted_index = classes.index(predicted[i]) matrix[actual_index][predicted_index] += 1 return matrix
Understanding Confusion Matrix Function in Python Confusion Matrix Function in Python In machine learning, a confusion matrix is a table…
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Tips for using TensorFlow to create confusion matrix for classification tasks
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