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
0
votes
1 answer
covert a data frame to mldr object (second argument must be a list)
I want to convert my data frame to mldr object, I get this error:
Error in do.call(paste, c(dataframe[, new_mldr$labels$index], sep = "")) : second argument must be a list
my data frame head is as follows:
hour P load week_day days month …
Neema
- 1
- 1
0
votes
1 answer
Combining multiple regressions in mlr
Is there a way to combine multiple regressions in the mlr package analogously to the multilabel classification with the makeMultilabelBinaryRelevanceWrapper()?
I have several dependent variables and and one set of features to explain them.
A…
krltrl
- 60
- 6
0
votes
1 answer
Is it possible to let a neural network classify entities based on classified documents?
I tagged a dataset of texts with independent categories. When running a CNN classifier in Keras, I receive an accuracy of > 90%.
My texts are customer reviews "I really liked the camera of this phone." Classes are e.g. "phone camera", "memory"…
junkmaster
- 141
- 1
- 11
0
votes
0 answers
neutral label for NLTK
I have similar problem like below
Why did NLTK NaiveBayes classifier misclassify one record?
In my case, I queried positive feed and built positive_vocab and then queried negative feed and built negative_voca. I get the data from feed clean and…
Raj
- 401
- 6
- 20
0
votes
1 answer
Keras multi-label time-series classification considering time-series as an input image vector
I am trying to build a multi-class classifier using Keras. I am not quite sure I have implemented it correctly.
Data is like this
label time-series variables [0:25728}
index 0 1 2 3 4 25728
0 1 2.5 3.2 1.6 1.05 ........ 2.54
…
Ishan Khatri
- 555
- 5
- 10
0
votes
1 answer
Multi-class and multi-label image classification using Caffe
I'm trying to create a single multi-class and multi-label net configuration in caffe.
Let's say classification of dogs: Is the dog small or large? (class) What color is it? (class) is it have a collar? (label)
Is this thing possible using caffe?…
Gal Dalali
- 99
- 1
- 2
- 6
0
votes
0 answers
hierarchical image classification in tensorflow
I want to do two steps classification. for each input I want to go for classify it to class1, 2, or ... and then based on each class, classify my input to specific class (for example is in first step high score belongs to class2, final label should…
Soloy
- 1
- 1
0
votes
1 answer
keras custom metrics for multi-label classfication
I'm using sigmoid and binary_crossentropy for multi-label classification.
For example, the label of y_true is like [1,0,1,0,0], and the label of y_pred is like [0.8,0.3,0.9,0,0].
How can I set a Keras custom metric function so that each element in…
user6456568
- 579
- 9
- 23
0
votes
2 answers
Caffe - multi-class and multi-label image classification
I'm trying to create a single multi-class and multi-label net configuration in caffe.
Let's say classification of dogs:
Is the dog small or large? (class)
What color is it? (class)
is it have a collar? (label)
Is this thing possible using…
Gal Dalali
- 99
- 1
- 2
- 6
0
votes
1 answer
How to calculate the accuracy when dealing with multi-class mutlilabel classification in tensorflow?
I am working with FER2013Plus dataset from https://github.com/Microsoft/FERPlus which contains the fer2013new.csv file. This file contains labels for each image in the dataset. An example on labels could be:
(4, 0, 0, 2, 1, 0, 0, 3)
where each…
I. A
- 2,252
- 26
- 65
0
votes
1 answer
Multi label classification using meka java
Can anyone help with full documentation for classifying a multi label dataset using meka java code..i have to train 80% data first and then test 20% data.How to do this with meka?It will be really if anyone can help.Here is what my dataset look…
Arukas Akim
- 19
- 1
- 5
0
votes
1 answer
How to convert to a multi-class classification model?
I am trying to implement multi-class classification using the cloud samples github.It was a classification model and i have to alter the code.I found some suggestion to change the final layer and loss from softmax to sigmoid.Also I have to change…
Jennings Mc Enroe
- 21
- 3
0
votes
2 answers
multi label classification confusion matrix have wrong number of labels
i am feeding in y_test and y_pred to a confusion matrix. My data is for multi label classification so the row values are one hot encodings.
my data has 30 labels but after feeding into the confusion matrix, the output only has 11 rows and cols which…
jxn
- 7,685
- 28
- 90
- 172
0
votes
1 answer
image multi classification with keras
so if I have two labels "dogs" and "cats" and I want to create multi classification neural network.
now if I provided a new random image which is not a dog or a cat, is there a way I can teach the classifier to tell me that this image is not a dog…
osama
- 15
- 2
0
votes
1 answer
multi label classification in keras
I tried to build a model that would help me identify images of a multi label classification problem, for example if I had pictures of cats, dogs and cows.
I ran a CNN model but it didnt catch at all (gave a precision of 33%).
Can anyone please…
RonJ
- 1
- 2