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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How to feed multi label data as HDF5 input in a multi task setup?
I have a dataset with each image having around 101 labels. I know, I have to use HDF5 data layer to feed my data into the network. But the problem is that I have a multi task setup. My network has shared parameters for the first 5 layers and then…
Jayant Agrawal
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Difference between binary relevance and one hot encoding?
Binary relevance is a well known technique to deal with multi-label classification problems, in which we train a binary classifier for each possible value of a feature:
http://link.springer.com/article/10.1007%2Fs10994-011-5256-5
On the other side,…
mountrix
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How to treat response OneVsRestClassifier in Scikit-learn for multilabel
I'm newbie in Scikit-learn and classification. My task is a multi-label classification problem. AS I understand predict returns array with n tuples which is the same as amount of features in sample. What does it mean? How I can get strict order and…
polianych
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how to roll a multilabel dataframe into single column in R
I have the following dataframe originalData
ID Y1 Y2 Y3 X1 X2 X3
1 111 TRUE TRUE FALSE 12 junior 45.55
2 112 FALSE FALSE TRUE 15 junior 458.54
3 113 TRUE TRUE FALSE 16 senior 48.79
I would like to get the following result…
S12000
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Weka Classification Project Using StringToWordVector and SMO
I am working on a project in which I have about 18 classes with about 4,000 total instances. I have 7 attributes, 1 being string data, the rest nominal. I am currently using StringToWordVector on the string attribute with Platt's SMO classifier,…
Will Ebert
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OneVsRestClassifier(svm.SVC()).predict() gives continous values
I am trying to use y_scores=OneVsRestClassifier(svm.SVC()).predict() on datasets
like iris and titanic .The trouble is that I am getting y_scores as continous values.like for iris dataset I am getting :
[[ -3.70047231 -0.74209097 2.29720159]
[…
alexander
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Rapidminer Classification
I am trying to solve a simple classification problem where the label has 12 different levels and need to classify each example into one of these 12. However, I want my output to look like refer the image:
https://i.stack.imgur.com/49USG.png
Here;…
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How to exclude data with 0 variance in matlab implementation of Linear discriminant analysis
I am using Matlab to classify data using LDA.
mdl = fitcdiscr(dbimgs1,indx,'DiscrimType','linear');
C=predict(mdl,testimgs1);
I get the following error:
Predictor x741 has zero variance. Either exclude this predictor or set 'discrimType' to…
user6220686
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Azure machine learning even sampling
I'm trying to do some basic multi-label classification in Azure ML. I have some basic data in the following format:
value_x value_y label
x1 y1 label1
x2 y2 label1
x3 y3 label2
.....
My problem is that in my data…
tamasgobesz
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Python sklearn OneVsRestClassifier : Score function gives ValueError
i am working on a multilabel classification problem as
import pandas as pd
import pickle
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import SGDClassifier
from sklearn.multiclass import…
AbtPst
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OnVsRestClassifier gives 0 accuracy
i am trying to solve a multilabel classification problem as
from sklearn.preprocessing import MultiLabelBinarizer
traindf = pickle.load("traindata.pkl","rb"))
X = traindf['Col1']
…
AbtPst
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Vowpal Wabbit same results always
I am using VW to try to predict multi classes. The strangest part is that it doesn't matter which parameters I use, the result is always the same.
Should that happen, maybe because of my data?
Details:
Around 90k lines of data. A line of the data:
1…
Adriano Almeida
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How to preprocess this floating point data to use with scikit - Machine Learning
I have dataset with 4000 features and 35 samples. All the features are floating point numbers between 1 and 3. eg: 2.68244527684596.
I'm struggling to get any classifier working on this data. I have used knn, svm (with linear,rbf,poly). Then I have…
Sreekar
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Run multiple Meka (Weka) classifiers - load errors to file / table object
For those of you unfamiliar with Meka - it is an extension of Weka for multi-label classifiers. Meka and Weka are VERY similar, however, and so Weka users may be able to answer this question, too.
Basically, I want my results from my runs of various…
lrthistlethwaite
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sklearn-KNearestNeighbors with Multilabels
I have a dataset with features and their labels.
it looks like this:
X1, X2, X3, X4, X5 .. Xn L1, L2, L3
Y1, Y2, Y3, Y4, Y5 .. Yn L5, L2
..
I want to train a KNeighborsClassifier on this dataset. It seems like sklearn does not take multilabels. I…
pg2455
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