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Very easy to use
Very easy to download a document, fill in the required fields and electronically sign. When I had a small issue customer service solved it quickly.
2019-07-21
PDF Filler Review
From forms, to contracts and or agreements I constantly have to fill out documents and then sign them. Your software facilitates these for me in addition to protecting them in a pdf format.
I enjoy using your software portal and it solves 99% of my problems.
The only issue that comes up from time to time is that when certain large vendors send me a form to fill out and I return it to them they do not recognize it. They want me to use Adobe instead, which I do not care for. I wish there was a way to save the finished document as if it were compatible with Adobe.
2019-09-18
With this site I can get any and all my paper work done in the manner that I wish to have done.
Typing out my paperwork in the correct format. Always there when I need it done. Able to use it anywhere.
It's ease of use,it's ability to take on tasks that I need done,the customer service is always there with answers to questions that I need answered. All the different jobs this site can achieve. I can not get along with out this site. Thank You for being there for us.
2017-11-14
Some issues with editing documents
Some issues with editing documents. A specific example is that it can be hard to remove checks and X's from document, but overall one of the best document editors i have used.
2024-05-23
PDFfiller is very helpful and useful for me professionally! I was able to edit forms into fillable documents and complete them for various employment applications. This feature is great!
2023-01-05
Helpful program with good customer support
This program makes it much easier to complete a complex form than doing it by hand and the customer support is very responsive.
2022-04-12
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2021-11-10
literally this app has changed my life and has made it so much easier and convienant for me always being on the go and now i dont really need to be on the go its just right here everything in one
2021-09-05
It was easy to use and I was able to print without watermarks. It also saves my work virtually and I can resume anytime. The additional features it had was really useful to share files and even notarize.
2020-11-19
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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.
What is filter method in feature selection?
Filter Methods are generally used as a preprocessing step. The selection of features is independent of any machine learning algorithms. Instead, features are selected on the basis of their scores in various statistical tests for their correlation with the outcome variable.
What is wrapper method in feature selection?
Wrapper Methods: Definition Wrapper methods work by evaluating a subset of features using a machine learning algorithm that employs a search strategy to look through the space of possible feature subsets, evaluating each subset based on the quality of the performance of a given algorithm.
What is feature selection and filtering?
Feature selection is the process of reducing the number of input variables when developing a predictive model. Filter-based feature selection methods use statistical measures to score the correlation or dependence between input variables that can be filtered to choose the most relevant features.
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.
Can decision tree be used for feature selection?
For ensembles of decision trees, feature selection is generally not that important. During the induction of decision trees, the optimal feature is selected to split the data based on metrics like information gain, so if you have some non-informative features, they simply won't be selected.
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.
How is feature importance calculated in random forest?
Feature importance is calculated as the decrease in node impurity weighted by the probability of reaching that node. The node probability can be calculated by the number of samples that reach the node, divided by the total number of samples. The higher the value the more important the feature.
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