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Results tagged with machine-learning
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user 49456
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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545
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How to evaluate an aspect based sentiment analysis model?
I have a model X that takes a review and predict the position of the aspect and the polarity:
input: Serves really good sushi. (review)
output: sushi > Positive (aspect > polarity).
I've seen that th …
- 262
2
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Accepted
How to evaluate an aspect based sentiment analysis model?
After a long literature review, I was able to answer my question:
There are several tasks, so it depends:
Aspect extraction: measure the accuracy (or any other metric,
usually F1 score) of detecting …
- 262
0
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0
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25
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Demand prediction when having N customers and M products
I have a csv file (dataset) with the following information:
date customer_id product_id quantity
11/02/2019 11 2212 2
11/02/2019 12 1116 …
- 262
0
votes
1
answer
45
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feature importance between two data distributions
I have two textual datasets collected from different domains (Twitter and Reddit).
I extracted a set of features in the same way from these two datasets, one of these features as an example called X …
- 262
1
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1
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28
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Including the validation file in the training process after tunning
Should I include the validation file in the training process after finishing the tuning process (e.g. searching for params using the validation file)?
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2
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331
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Predicting products to be sold in a store - problem formulation
I have a data from a store for the products that sold since more than 5 years. Each sell process has a customer id, date, and the quantity of the product.
I want to build a machine learning model to p …
- 262
1
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1
answer
2k
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Macro F1 result higher than accuracy for imbalanced dataset
In one of the research papers on fake news detection, the authors collected a fake news binary dataset (fake vs. real news) consists of 16,817 real articles and 5,323 fake ones.
The authors presente …
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133
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Top N accuracy for an imbalanced multiclass classification problem
I have a multi-class classification problem that is imbalanced. The task is about animal classification.
Since it's imbalanced, I am using macro-F1 metric and the current result that I have is: 51.59. …
- 262