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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Multi-label classification using SVM for text data
I have data in an excel file that I need to use to perform multi-label classification using SVM. It has two columns as shown below. 'tweet' - A,B,C,D,E,F,G and 'category' = X,Y,Z
tweet category
A X
B Y
C Z
D X,Y
E …
stackuser123
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Multilabel classification neural network, any one label
I am trying to figure out to build a neural network in which let's say I have 3 output labels (A, B, C).
Now my data consist of rows in which 2 of the labels can be 1. Like A and B will be 1 and C will be 0. Now I want to train my neural network…
user9637850
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how to map the results obtained after multiclass classification to 1 and 0
I am working on image classification for cifar data set.I obtained the predicted labels as output mapped from 0-1 for 10 different classes is there any way to find the class the predicted label belongs?
//sample output obtained
array([3.3655483e-04,…
amaresh hiremani
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sklearn classification with multiple label output
Hi I am studying AI to build chatbot, i am testing now classification with sklearn, i manage to get good results with following code.
def tuned_nominaldb():
global Tuned_Pipeline
pipeline = Pipeline([
('tfidf',…
GurhanCagin
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Multi-target having dependent variables as both classification and regression?
I have two inputs as my independent variables and I want to predict 3 dependent variables based on it.
My 3 dependent variables are of 2 multi-categorical classes and 1 is of continuous values. Below is my target variables.
typeid_encoded,…
Manikant Kella
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Masking NA in Keras multilabel Regression
I am trying to build a multilabel regression model with Keras. The labels have a number of NA values, i.e. not all instances were tested for all label. Here's a sample of my code:
import numpy as np
import pandas as pd
from sklearn.datasets import…
Anderlecht
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MEKA: Evaluation failed(CV): java.lang.ArrayIndexOutOfBoundsException:-1
MEKA is the open source machine learning framework. I have a created a *.arff file for text contents for solving the multi-label classification. But I couldn't execute the data. I am getting the following error when I run the Binary relevance based…
Ashok Kumar Jayaraman
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How to get correct acccuracy for multi label prediction?
I am trying to get a tensorflow network that does multi-label predictions. Using softmax with one-hot (single label) predictions works correctly. The accuracy get's calculated perfectly and the network learns as it should.
My basic network setup…
Peterdk
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How to perform a multi label classification with tensorflow in purpose of auto tagging?
I'm new to tensorflow and would like to know if there is any tutorial or example of a multi-label classification with multiple network outputs.
I'm asking this because I have a collection of articles, in which, each article can have several tags.
Nina
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Pandas DataFrame :Transforming integer categories for binary classification
I have a pandas dataframe with 10 columns and I want to perform binary classification in such a way that SVC or any other classification algorithm can decide to which category a given intensity value belongs to.
mzmin mzmax rtmed rtmax Sample 1 …
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Mutli-class classification in python
I am in the process of converting a binary classification problem to multi-label classification program. The code is written in python.
The below is the existing code:
positive_labels = [[0, 1] for _ in positive_examples]
negative_labels = [[1, 0]…
Doubt Dhanabalu
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R package mlr Multilabel Text Classification: how to classify new data
I found this code in a tutorial about multilabel classification with package mlr.
library("mlr")
yeast = getTaskData(yeast.task)
labels = colnames(yeast)[1:14]
yeast.task = makeMultilabelTask(id = "multi", data = yeast, target = labels)
lrn.br =…
WinterMensch
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Multi Label Classification on Data Columns in Tables
I am seeking guidance on a machine learning problem involving the tagging of data columns. Currently, I have a system where users can add multiple tags to a columns in a table. However, I want to automate the tagging of new columns by using Multi…
DPascal
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Keras GridSearchCV using metrics other than Accuracy
Q1: Why keras gridsearchCV does not allow using metrics other than "Accuracy". Like I want to use:
categorical_accuracy in place of accuracy.
Q2: How does this accuracy work for one-hot-encoded data as I am giving…
Akhan
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tf.nn.sigmoid_cross_entropy_with_logits does it share weights?
I am planning to use
tf.nn.sigmoid_cross_entropy_with_logits
for creating N binary classification models. I want these N models to be independent binary models and not share weights? Can I achieve it using this function?
Ravikrn
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