Nice video. I followed your tutorial and it worked brilliantly on my project. On thing at the end, did you made a mistake on the confusion matrix? it seems like you are plotting predicted results against predicted results.
yeah, i think he made a mistake on the confusion matrix, and i correct it into "cm = confusion_matrix(test_labels, y_pred)" but i'am not really sure that is correct. XD
If all data types in your dataset are integer or float so no need to use any encoding. Encoding is used for transfering your non-numircal data to numerical values because the model can work only with numbers.
@@hggaming911 if i want to change the order, what is the code for example "Iris-setosa" = 3, "Iris-versicolor"=2, Iris-virginica" =1 instead of writing "Iris-setosa" = 1, "Iris-versicolor"=2, Iris-virginica" =3
For lines 20 & 21, what is the benefit of using validation?
can this be apply for multi-label classification too? if yes, where is the part i can change the algorithm to multi-label ?
My jupyter code on line 2 pd.read_csv('iris_dataset.csv') error "FileNotFoundError". what yould i do?
Nice video. I followed your tutorial and it worked brilliantly on my project.
On thing at the end, did you made a mistake on the confusion matrix? it seems like you are plotting predicted results against predicted results.
yeah, i think he made a mistake on the confusion matrix, and i correct it into "cm = confusion_matrix(test_labels, y_pred)"
but i'am not really sure that is correct. XD
Hello, your video is very good!
But may I ask a question? Is this multi-class classifier is using OVO(One vs. One) or OVA(One vs. All) or RCC?
so no one-hot encoding is needed?
If all data types in your dataset are integer or float so no need to use any encoding. Encoding is used for transfering your non-numircal data to numerical values because the model can work only with numbers.
@@hggaming911 if i want to change the order, what is the code for example "Iris-setosa" = 3, "Iris-versicolor"=2, Iris-virginica" =1 instead of writing "Iris-setosa" = 1, "Iris-versicolor"=2, Iris-virginica" =3