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
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Why doesn't multilabel classification give 100% classification on train data (sklearn)?
I have the following data:
[
{"Q" : "What nationality is Laplace?", "Q_TYPE_COURSE" : ["LOCATION", "DESCRIPTION"], "Q_TYPE_FINE" : ["LOCATION-COUNTRY", "DESCRIPTION-DESCRIPTION"] },
{"Q" : "Who wrote 'Celestial Mechanics'?", "Q_TYPE_COURSE" :…
pewpew_beepboop
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Guessing the categories for receipts
We have large number of receipts (more than 20k) and want to categories these receipts. One receipt can belongs to one or more categories. And we have more than 500 categories currently.
i.e
If the receipt is about payment for internet. Then our…
lsc
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Can I minimize tf.nn.sigmoid_cross_entropy_with_logits without reduce_mean?
I'm training my multi label model with tensorflow. The loss is calculated with tf.nn.sigmoid_cross_entropy_with_logits. Can I just minimize the loss without reduce_sum or reduce_mean like this:
...
#loss =…
tidy
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Weights becoming "NaN" in implementation of Neural Networks
I am trying to implement Neural Networks for classifcation having 5 hidden layers, and with softmax cross entropy in the output layer. The implementation is in JAVA.
For optimization, I have used MiniBatch gradient descent(Batch size=100, learning…
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Unsupervised Classification: Assign classes to to data
I have a set of data from a drill hole, it contains information about different geomechanical properties every 2 meters. I am trying to create geomechanical domains, and assign each point to a different domain.
I am trying to use random forest…
CHopp
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Python based multi-label Classification
I have a data set something like shown below which in real scenario wil have row count something between 10000 to 1000000.
There would be more columns but the core problem revolves round these two fields.
Known Labels
I have known categories…
Reshmi Nandy
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the difference between labelling in SVM and ANN
I have problems with labeling on machine learning, initially I suppose labeling on machine learning is all the same. after I try and practice it, turns out there is a difference between SVM and MLP labeling. Is that true ?
I'm working on assignment…
muhammad irfan
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Performance SVMlight Multilabel Classificaiton (Features: 1000)
I am currently working on a multi-label classification. As classifier I use SVMlight and binarized the multi-label problem. That means in my case more than 1000 classification runs.
I have a fixed feature size of 1000, the training of the models…
jobooo
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How does one check classification results on two million tweets?
I've got two million tweets, which I need to classify into three categories:
liking the product;
not liking it; and
suggestions for product.
But how do you check the result of your classifications? Shall I just randomly choose some tweets, read…
user4069366
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Python library for dot product classification
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 this will…
Ohumeronen
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Regression Loss Function Working Perfectly on My Classification Model
I have built a model that detects what type of shot a table tennis player is performing using TensorFlow. After I built my Neural Network, the model I am dealing with seems to be a multi-label classification model. The binary cross-entropy and…
Ali koteich
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Confusion matrix fails to show all labels
I have created a classification matrix for multi-label classification to evaluate the performance of the MLPClassifier model. The confusion matrix output should be 10x10 but at times I get 8x8 as it doesn't show label values for either 1 or 2 class…
Srikanth Tangirala
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Classification method used in CNN
In the code developed below by Mike Smales, he uses a MFCC as the feature extraction. Can you tell me what is the classification method used by his code listed below?
Here is his code for the CNN Model:
# Construct model
model =…
Joe
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OneHotEncoding 2500 different categorical variables
I am working on a flight recommendation project where airport codes of each source will be given along with some data. with that i have to predict the destination to which airplane can reach.
I have to deal with 6+ million rows. so I am facing a…
jdlskldk
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Check if a sentence contains a word from a list of word
I want to check if a sentence contains a word from a list of words mapped to a category. So i have a class KeyValue.java with words, category names and a method filterCategory to check if it contains the word. Now i have a 10,000 keywords mapped…
akay
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