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Hi, how do I normalize realtime data in the same fashion as I normalized the training and test data to create the model? after my model creation and validation i have normalized data but when i want to implement new data it is obviously not normalized and i cannot figure out how to normalize it so the scale is similiar. I…
Hello, I m trying to identify patterns in a time series data(please refer to the data below),in such a way that it tells me about the signature(s) (pattern it has in a particular period of time and therefore the algorithm extract those continuous time period in the form of 'from' and 'to' dates). Suppose my resultant…
Hi, I used normalization in my regression analysis and realized the following: 1. If I apply Group Models parameter, the result is almost similar to when I build the model without normalization. 2. If I remove the Group Models parameter and use only the Normalization parameter, I get better predictions (more predicted…
Hi, everyone. After I learned from the resources, I have a few questions. 1. Why "Apply Preprocessing" is added? What is the function? 2. Why "Group Models" is added here? Why "pre" connects to "mod"? Thanks for giving answers.
Hi, before training a Neural Network the training set has to be normalized, e.g. with z-score. Before validating the model, one would also normalize the test set by using the normalization parameters obtained from the normalization of the training set. This is done to prevent information leakage through normalization. In…
Hello! :) I'm trying to build a classification model with RF and I have a data set with many missing values. I tried to use RF without replacing missing values but the performance is not good. For this, I'd like to replace missing values with average. What is the better order to insert the operator? Before or after…
Hi RapidMiner Community, I have a question about the results of my sentiment analysis I conducted for online reviews from Airbnb that I want to compare with ratings given from the reviewers. As a result of the Extract Sentiment operator using Vader I get unstandardized values that I can hardly compare with other values…
۵۱۲/۵۰۰۰Hello My friends used to work on text data before Now I have a dataset containing 18 features and 106 samples. About the disease. With two classes There are 79 samples of healthy specimens that do not have a disease. And 25 patients are sick. And 2 samples are unknown. I wanted to know if I should do normalization…
Hello Rapid Miner Community, I'm currently working on a clustering model. I cluster different countries according to certain determinants. However, the determinants are composed of different factors (example: Determinant: Degree of economic integration is composed of the factors: Trade Freedom and Trading across borders.…
Hi, I understand that when normalising my data it puts values into a specific range. I know that this can help for machine learning purposes but I'm unclear on how? Would someone mind clearing this up for me? Thanks again -Madcap