multilabel-classification

Data Science Data Analysis

Data Science Data Analysis Question: I have a dataset with people’s characteristics and I need to predict their breakfast here‘s an example of df. And I am training cat boost algorithm for that. Is it possible in my case to predict not only one kind of breakfast, but also an additional one? By additional I …

Total answers: 2

Multi Label Classification – Incorrect training hyperparameters?

Multi Label Classification – Incorrect training hyperparameters? Question: I am working on a multi-label image classification problem, using TensorFlow, Keras and Python 3.9. I have built a dataset containing one .csv file with image names and their respective one-hot encoded labels, like so: I also have an image folder with the associated image files. There …

Total answers: 1

Calculating precision, recall and F1 score per class in a multilabel classification problem

Calculating precision, recall and F1 score per class in a multilabel classification problem Question: I’m trying to calculate the precision, the recall and the F1-Score per class in my multilabel classification problem. However, I think I’m doing something wrong, because I am getting really high values, and the F1 Score for the whole problem is …

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Python library for dot product classification

Python library for dot product classification Question: I have the following python pyseudo-code: A1 = "101000001111" A2 = "110000010101" B2 = "000111010000" B2 = "000110100000" # TODO get X = [x1, x2, …, x12] assert(A1 * X > .5) assert(A2 * X > .5) assert(B1 * X < .5) assert(B2 * X < .5) So …

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Is RandomOverSampler Causing my Model to Overfit?

Is RandomOverSampler Causing my Model to Overfit? Question: I am attempting to see how well I can classify books according to genre using TfidfVectorizer. I am using five moderately imbalanced genre labels, and I want to use multilabel classification to assign each document one or more genres. Initially my performance was middling, so I tried …

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Error in fit method of scikit learn chain classifier with a keras model for a multilabel problem

Error in fit method of scikit learn chain classifier with a keras model for a multilabel problem Question: I’m building a chain classifier for a multiclass problem that uses KerasClassifier model. I have 17 labels as classification target and shape of X_train is (111300,107) and y_train is (111300,17) My code is here: def create_model(): input_size=length_long_sentence …

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One hot encoding of multi label images in keras

One hot encoding of multi label images in keras Question: I am using PASCAL VOC 2012 dataset for image classification. A few images have multiple labels where as a few of them have single labels as shown below. 0 2007_000027.jpg {‘person’} 1 2007_000032.jpg {‘aeroplane’, ‘person’} 2 2007_000033.jpg {‘aeroplane’} 3 2007_000039.jpg {‘tvmonitor’} 4 2007_000042.jpg {‘train’} I …

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What is the difference between OneVsRestClassifier and MultiOutputClassifier in scikit learn?

What is the difference between OneVsRestClassifier and MultiOutputClassifier in scikit learn? Question: Can someone please explain (with example maybe) what is the difference between OneVsRestClassifier and MultiOutputClassifier in scikit-learn? I’ve read documentation and I’ve understood that we use: OneVsRestClassifier – when we want to do multiclass or multilabel classification and it’s strategy consists of fitting …

Total answers: 3

Multilabel Text Classification using TensorFlow

Multilabel Text Classification using TensorFlow Question: The text data is organized as vector with 20,000 elements, like [2, 1, 0, 0, 5, …., 0]. i-th element indicates the frequency of the i-th word in a text. The ground truth label data is also represented as vector with 4,000 elements, like [0, 0, 1, 0, 1, …

Total answers: 2