Questions tagged [weighted-data]

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Understanding Weighted learning in Ensemble Classifiers

I'm currently studying Boosting techniques in Machine Learning and I happened to understand that in Algorithms like Adaboost, each of the training samples is given a weight depending on whether it was ...
3
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1answer
594 views

Weighted loss functions vs weighted sampling?

For image classification tasks, is there a practical difference between using weighted loss functions vs. using weighted sampling? (I would appreciate theoretical arguments, experience or published ...
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0answers
552 views

XGBoost predicting everything as null when sample weights are passed

I am trying to build an Uplift model using observational data. The data is consists of collections calls to customers and my objective is to predict the incremental probability due to the treatment (...
2
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1answer
74 views

Training a model where each response in the observation data has a different known varience

I have a dataset where each response variable is the number of successes of N Bernoulli trials with N and p (the probability of success) being different for each observation. The goal is to train a ...
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0answers
14 views

Class weights in RSNSS package?

New to ML in general and have been Googling on this. I am working on a dataset that will rate each customer features to a credit worthiness class attribute. Is it possible to add class weights in the '...
1
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1answer
83 views

Assign more importance to recent records during training

My goal is to build a classification model in order to predict if a customer will buy a product or not (binary classification). Since in the last months (let's say 3-4) I know that the advertising of ...
1
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0answers
18 views

Non-monotone missing data, and inverse probability weighting

I'm having difficulty identifying whether or not my missing data pattern is 'monotone'. I have two variables with missing data, and the missing data patterns in each variable do not completely ...
1
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1answer
298 views

How to weight loss in regression

I've got a regression problem where a model is required to predict a value in the range [0, 1]. I've tried to look at the distribution of the data and and it seems that there are more examples with ...
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0answers
10 views

Implementing class weighting in Faster RCNN

I have a dataset (around 45,000 screenshots) of UI elements (UI trees containing element types and bounding boxes) and associated screenshots: The dataset is highly imbalanced with the button element ...
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0answers
18 views

Is there R functions that allow to test for overdispersion when fitting a model with survey design?

I realized I need to use the package survey to be able to include sample weights in my regression analysis. Initially, I wanted to use a negative binomial regression on each one of my outcomes as ...
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0answers
14 views

Weighting the loss function based on previous seen true positive rates

Similiar to class imbalance there is always something I would call "learnability imbalance" in multi-class classification. What I mean by that: Even when the classes are evenly distributed ...
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0answers
14 views

target encoding and weighting

I am working on a project in which I use data of movies and I represent each movie as a vector of length of 15. So there are 15 features ranging from genre to director. Most of the features are ...
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0answers
8 views

Qunatify total time saved by prioritizing tasks based on the failure rate probability of each task

I am trying to solve a problem where I am trying to prioritize the tasks in a job based on the failure rates of each task. For ex: ...
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0answers
30 views

Weighted accuracy, sensitivity and specificity

I have a confusion matrix TN= 27 FP=20 FN =11 TP=6 I want to calculate the weighted average for accuracy, sensitivity and specificity. I know the equation but unsure how to do the weighted averages.
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0answers
4 views

Vector dimensionality seems to be implemented incorrectly

I'm trying to implement a fuzzy topic modeling approach in Python based on a paper, which is accommodated with an R implementation from GitHub. In one of the first steps a document term matrix is ...
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0answers
12 views

Can a term weighting function used in text retrieval be compared to one used in text classification?

I came up with a modified version of TF-IDF function for text retrieval task. I want to do retrieval experiments using Vector Space Model and compare my function to some of those proposed in the ...
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0answers
53 views

How to balance dataset using fit_generator() in Keras?

I am trying to use keras to fit a CNN model to classify 2 classes of data . I have imbalanced dataset I want to balance my data equally. How I can do that ?? Any help would be appreciated The main ...
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0answers
302 views

How to visualize the weights of the output(classification) layer?

I'm doing a Convolutional Neural Network of MNIST data set, and how can I visualize the weights of the output(classification) layer? I only found several websites visualizing the filters in CNN model ...
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1answer
141 views

Clustering with custom criterion (minimum cluster weight)

Edit: following comment from @anony-mousse, I'm changing the question to search for a general clustering approach that matches this criterion (minimum weight per cluster). I am to use a clustering ...
0
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1answer
2k views

Class weights for imbalanced data in multilabel problems

I am trying to train a CNN for a multiclass - multilabel classification task (20 classes, each sample can belong to 1+ labels) and the dataset is highly imbalanced. In single-label cases I would use ...