The most recent content from our members.
There's a wealth of content waiting for you to explore! Need support or have a question? Sign in or register to get started.
I'm using the Discretize by User Specification operator to turn my label from numerical data into nominal with 5 different classes, those being lowest, low, on target, high, and highest. After doing this all 5 classes are showing up in the data. I am then using a Sliding Window Validation using various models but am…
Does anyone know or have seen this error before? I have tried some approaches, but no success
Hi everyone, I've been trying to build a Poisson model for rates, but I can't find where to define my "offset". In my case, the offset is the population per neighborhood and target "number of deaths". has anyone ever done this before using only RM operators? roughly and unelegant way, something like this eg.: glm(deaths ~…
Hi, in a project I'm using the GLM operator (based on H2O algorithm). In particular, I would like to train a Negative Binomial model and in a second step extract the theta parameter (see here for more details). I've already seen that this parameter is not reported in the result. Do you have any idea to extract it? I was…
I just recently got the monthly subscription for GO but it gets "hung up" (at times all night even on something with 80 rows and 3 columns!)!) and won't deliver any conclusions even on older files for which it was successfully predicting. So, I suspect it has nothing to do with the process or the particular files. Any…
I am using the Optimize Selection(Evolutionary) and Logistic Regression in order to extract predictive features of Students NAT performance. My input features are Student Subject Grades and my Output Feature is the National Achievement Test Score. The problem is the result weight in my Optimize Selection Outputs 1 and 0,…
The linear model can be extracted with converter extension, however, general linear model can not. Could you share your way to do it?Thank for your attention.
Hi, I have 2 questions about FEATURE SELECTION operator. 1. After running the algorithm it generates a few feature sets but selects a certain feature set according to 'balance to accuracy' parameter. For example, this is the Pareto front from which a feature set is chosen for balance = 0.8: This certain set has 7 features…