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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
So far I have found every form I have needed. The only problem I have is that I cannot print directly from the website. When I try to print I get blank pages.
2014-06-17
All of my forms have looked super professional, and when I applied for my new job, the HR department thought it was going the extra mile to type out my application instead of handwriting it.
2015-05-18
I used it when I was having Turbo Tax Problem. It was easier because I knew what to fill out. I work for an evnet company, this could revolutionize our permit process.
2016-03-17
So easy to use not being rejected
My bank required my signature not an electronic signature. Maybe if I used my signature on pdf format I will try that next time.
2017-12-28
I was freaking out that I couldn't save…
I was freaking out that I couldn't save my work on a PDF for a scholarship app, but after finding this, I am very happy and calm.
2020-04-17
What do you like best?
Navigation is simple, editing works well and have never had any issues.
What do you dislike?
I really have not found anything that does not suit my needs.
What problems is the product solving and how is that benefiting you?
To edit design documents quickly by making quick changes. It also helps in editing quotes to clients.
2022-11-01
Very helpful software
Very helpful software, particularly in conjunction with SignNow. Lots of flexibility and configurability. That plus the integrations found throughout the AirSlate suite make it a big value add.
2022-06-16
Private individual, basic version
I'm using the basic version which obviously has some limitations but it's good for the tasks I have in hand
2020-11-07
Student charged 115€ despite cancelling…
Student charged 115€ despite cancelling free trial – very disappointed
I am extremely disappointed with my experience on pdffiller. I had signed up for the free trial, made sure to cancel it before the end, and yet I was still charged €115.20 for a full annual subscription without my consent.
I am a student, and this unexpected charge has pushed my bank account into overdraft, causing me financial stress. I never agreed to any paid subscription, and when I log into my account, it still shows as “free”, proving that I had cancelled on time.
After checking Trustpilot, I realized that many other customers are facing the exact same issue — this seems to be a recurring problem.
I have contacted customer support and sincerely hope they will resolve this quickly and refund me. But this situation is really unfair and unacceptable.
2025-06-17
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How do you do feature selection?
Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features.
How do you perform feature selection?
Feature Selection is the process where you automatically or manually select those features which contribute most to your prediction variable or output in which you are interested in. Having irrelevant features in your data can decrease the accuracy of the models and make your model learn based on irrelevant features.
Why do we do feature selection?
Top reasons to use feature selection are: It enables the machine learning algorithm to train faster. It reduces the complexity of a model and makes it easier to interpret. It improves the accuracy of a model if the right subset is chosen.
Is feature selection necessary?
Feature selection might be considered a stage to avoid. You have to spend computation time in order to remove features and actually lose data and the methods that you have to do feature selection are not optimal since the problem is NP-Complete. A smaller set of feature is more comprehensible to humans.
What is feature selection in ML?
In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction.
How do you do feature selection in R?
Forward Selection The algorithm starts with an empty model and keeps on adding the significant variables one by one to the model. Backward Selection In this technique, we start with all the variables in the model and then keep on deleting the worst features one by one.
How do you do feature selection using random forest?
Prepare the dataset. Train a random forest classifier. Identify the most important features. Create a new 'limited featured' dataset containing only those features. Train a second classifier on this new dataset. Compare the accuracy of the 'full featured' classifier to the accuracy of the 'limited featured' classifier.
What is the best feature selection method?
There is no best feature selection method. Just like there is no best set of input variables or best machine learning algorithm. At least not universally. Instead, you must discover what works best for your specific problem using careful systematic experimentation.
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