Multi-label classification refers to the problem in Machine Learning of assigning multiple target labels to each sample, where the labels represent a property of the sample point and need not be mutually exclusive.
Questions tagged [multilabel-classification]
844 questions
-2
votes
1 answer
Document classification using libsvm in java
I am using libsvm library for document classification of resumes. I have multiple resumes and I need to classify them. Do I need multilabel classification OR multiclass classification in this case. Which above option should I consider and also…
user3274576
- 27
- 1
- 4
-3
votes
1 answer
MultiLabelBinarizer mixes up data when inverse transforming
I am using sklearn's multilabelbinarizer() to train multiple columns in my machine learning which I use to train my model.
After using it I noticed it was mixing up my data when it inverse transforms it. I created a test set of random values where…
Ethan Kulla
- 333
- 2
- 9
-3
votes
1 answer
How to use Machine Learning Algorithm to predict most discussed tweeter category
INPUT I HAVE
I have a csv file which contains 2000 sentences as below:
WHAT I WANT TO DO
I want to:
A) Categorize each sentence
One way I am thinking is to create a dictionary where I will put each category related words
But I don't like this…
Rahul
- 191
- 1
- 11
-4
votes
1 answer
Is this confusion matrix correct?
I'm trying to classify animal sounds. I'm using CNN for this purpose. I'm comparing the classes with each other, hence, some training will be done with 2 classes. Once I get the confusion matrix with these training, I encounter something like…
akoluacik
- 33
- 5