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2 votes

Optimize classification rule in multinomial logistic regression

The question is ill-posed. If you are trying to optimise some function of specificity and sensitivity for a logistic regression model by altering the classification threshold, you are favouring one ...
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1 vote

Does having the same background for all the images of a particular class increase a CNN model's ability to classify the images?

If you transform your images to all have the same background, you are removing noise from your data. This means a model trained on these transformed images may be more accurate on other images ...
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5 votes
Accepted

Does watermark/text on images at the same position influence the classification of images using CNN?

Yes, it can be a problem. A very similar example was used in the Unmasking Clever Hans Predictors and Assessing What Machines Really Learn paper by Lapuschkin et al (see below). They show an example ...
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1 vote

How to use time-series observations on multi-class classification problem?

One of the challenges of time series classification is that most ML algorithms assume the feature variables are independent of each other. That's often not the case in a time series, as a value of the ...
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  • 454
0 votes

Low classification accuracy

I see that you've edited to state that you're tuning n_estimators and max_depth. For random forest, the most important parameter ...
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