-
How to calculate predictive weights?
Hello! I am using multiple variables (rainfall, temperature, wind speed, slope, distance to settlements, etc) for predicting fire events using different machine-learning algorithms. In the below-given example, I have used Random Forest to do so. Using 'Explain Predictions" this result was generated. In Support Prediction,…
-
Feature Importance for Regression Random Forest
Hello Everyone, I am looking for an operator (or any other way) to find the attribute importance of my model. I have selected an RF model and tried to use the operator "Weight by Tree Importance" to find the weights of my attributes. However, I received the following error message: Attribute Weights cannot be extracted…
-
Most important features
Hello again. I would like to know if there is an operator that shows the most important features. I am using a dataset which consists of 1096 columns and 96000 rows including clinical and laboratory records. Βy knowing the most important features I will be able to evaluate and process the attributes that have an important…
-
Set Neural Net weights as desired
Hi, I want to know how to setting the weights of neural net operator manually before the calculation. i already try using "weight by user specification" and "scale by weights" but the result is the same like when im not try change the weights. i need to know the first weights that neural net operator used. Best regards,…
-
Weights and PCA
Hi, Are the features under "weights" similar to the ones produced by feature importance? Is there a way to use PCA using Turbo prep and still get the original features (pre-PCA) under weights instead of the PCs?
-
Dictionary in sentiment analysis
Hello people, I have a very important project at university in which I have to create my own dictionary for sentiment analysis, I could find anywhere how doing these kind of stuff is there way? If you can't understand me I'm looking to create my own "weight" for words so for example, that the word "bad" isn't -0.5 but -1…
-
Weights and Bias in Deep Learning result using Auto Model for future use?
Hi guys, I am new here. I used Auto model for my work, but I was unable to get the Weight and bias from Deep learning's production model. is there a way to do this? or am I missing something? thanks.
-
How to create one final decision tree
Hello, I need to create on final decision tree based on 25 different decision trees but I am not sure how to do that. They need to be constructed in a sequential manner where we update the weights of the training examples based on the prediction and the error rate of the previous decision. Right now I have the random…
-
Is it possible to assign more weights to certain features before model building?
I want to assign more weights to certain features which i find important before model building. And then send it to the model so that model can also understand that these are the important features. Is there a way to do this in rapidminer? Please guide me
-
Combining weights
I am doing a favour for someone who is looking to combine weights from a survey where the responses are not aligned with the population demographic. Is there something inside of RapidMiner that can effectively combine weights, similar to what SAS and R do? We are working with Age, Gender, Location and Salary and need to…
-
DBScan clustered back-feeding
Good morning, I am new here and also in rapid miner. I am trying to do a clustering using dbscan. Currently I get the clustering I want by manually giving more or less weight to my features. But I would like to know some operator that automatically does this function. Depending on the input data, the weight that each of…
-
Replace missing values for weight with average/mean of other attribute (item identifyer)
Hi, I have a data set containing supermarket data and two of my attributes are item weight and item identifier. A lot of examples are missing weight info, but because of the item identifier I know what they have to be (see image: DRA24 has to be 19.350 and DRA59 has to be 8.270) How can I replace the missing values for…
-
Weight By Gini Index. How are these calculated?
I'm curious about how the numbers in Weight By Gini Index operator is calculated. Can someone explain the math? The example set that is going to be processed comes from the Process Documents from Data operator with TF-IDF vector creation.
-
How to give different weight to each class before prediction
Dear ALL I have a dataset with three unbalanced classes. How can I give more weights to classes with less example numbers?
-
Issue found in feature weight of RandomForest for regression
It seems that there is an issue or a bug in the feature_weights returned by RandomForest operator, but only for regression. I found that problem on one dataset but I reconstructed it on IRIS dataset for which features a3 and a4 are the most important but according to the regression RandomForest these two features are the…
-
Optimize Selection Weights
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,…
-
Spreadsheet, table with attribute weights of each model in Auto Model
Hi, I am wondering if there is a way to create a table consisting of the attribute weights provided by each model used in Auto Model (Different from weight by correlation, rather weight by algorithm) This would provide an additional way to select the model of preference to deploy (together with resiliency and time needed…
-
Automodel and variations in feature weights and ranking
Questions: * If the weight of a feature dramatically changes depending on the model used, the ranking of the 5 most important features are varying a lot between the models. Because these features have a context related to a patient population, and we believe that time onset to ER is very important, we really were looking…
-
Potential Problem Detected (Learner ignore example weights)
Hi All, I want to try Adaboost with my dataset . RandomForest is available in Adaboost. But "Input example set has example weights,but the learner will ignore them" warning is displayed. I wonder that why does it occur ? Am I using Adaboost correctly ? In this case, Can I use result of algorithm ? Thanks. I attached my…
-
weight of attributes -
Dear RapidMiner Community! I am a newbie here, the same as in data science. I am doing my first analysis project for the college assignment. I tried to find the answer here in the forum and followed the suggestions, but still I am stuck. The data set I am working on has got 35 attributes, the target one is binominal…
-
Formula/Equation for Weighting Word in Generate TF-IDF operator
Hi, anyone know how does Generate TF-IDF operator work to do weighting word like this screenshot? i need the formula or equation for my paper, please let me know Thank you
-
LSTM in Deeplearning errors
Hello, Rapidminer community! I recently started using Rapidminer and drawing inspiration from an LSTM network from Kaggle I have set out to try and make my own. Whenever I run the model it throws me the error "java.lang.IllegalArgumentException: J: Index [0] must not be >= shape[0]=1." at the apply model process. The…
-
weight by correlation
the Weight by Correlation operator can be applied only on ExampleSets with numerical or binominal label. It cannot be applied on Polynominal attributes because the polynominal classes provide no information about their ordering, therefore the weights are more or less random depending on the internal numerical…
-
How Weights in Auto Model ( Deep Learning ) Calculated
Hi All, I just work with RapidMiner and i'm impressed by the simplicity and the accuracy. I used Auto Model to work on my thesis, and the best one is Deep Learning. But i want to know how the weights is calculated for Deep Learning model. What kind of library and method it's used ? Thanks before. Well done team. Cheers
-
what is the logic regarding the impact of weights on prediction?
Hi! I am working on a project in which I need to predict the value of a variable based on others that in the set are part of a database, which, in turn, I am using as input in the program. For this, the tool or method that I'm using in Rapidminer is Automodel. Everything good when running the model. The algorithm that came…