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Some attribute is missing the input from example set
Hello, I have a simple RM process, and whenever I use the set role operator I get the warning message "The attribute loan_status is missing in the input example set". I can run a model, but the performance operator gives me a confusion matrix full of zeros. How can I fix this? I checked the data and it is binominal, the…
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Impute Missing Values Error
I am trying to fill in the missing values in the dataset using the Impute Missing Values operator. As I integrate the operator into the process and when connecting to the dataset I get the information about it as shown in the image below. When I enter the operator the information I get without having integrated knn yet is…
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Replace missing value with a subgroup-calculated value
Suppose we have rows of data with attributes Temp & City & a Datetime (amongst others). The temp data has some missing values. How can I fill in the missing temp data with the average temp of the given city on an hourly basis? Calculate average temp by City by datetime to the hour Use that average temp to fill in any…
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Waist circumference: continuous var: How to replace the missing value? by min, max or average?
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How to filter out examples with missing values!
Hello everyone! I am using the data set "Titanic" and am wondering how to filter out the examples with missing values. I see how to filter and see the ones with missing values, but not the other way around!
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Impute missing values of more than one attribute
Hello I need to impute the missing values of 2 different attributes, i have tested and selected a knn and a neural network to predict each variable, what i don´t know is how to implement both algorithms in the subprocess "Impute missing values"; when i try aplying the neural network with his specific label, the process…
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How to impute the missing data with the most frequent value
I have a dataset containing categorical and numerical data and I would like to know how I can impute the missing data with the frequent value. For example ID Feature1 Feature 2 Feature 3 _______________________________________ 123 core i7 Windows 33844690 334 IOS phone 99983648 Note that the missing values are huge but I…
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Impute Missing Values for only one attribute using a subset of attributes
Hello everyone! Because I have many missing values in my dataset, I created a KNN model to predict the missing values for one attribute. The model works well so I want to use it to impute the missing values. Unfortunately, the model does not work in the same way when inserted into the impute missing values operator.…
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the "Replace Missing Values(Series)" just didn't work and I can't figure it out
Hi dear friends, this is my example and I am trying to replace the missing value in "位置" which belongs to ID18 so I picked out the "Replace Missing Values(Series)" operator and set the parameters like: Howerer, RM just kept telling me it couldn't get access to any data because of the wrong attribute type, whereas, I have…
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Statistic Missing Value
Hallo, My statistics summary show that no column with missing value. But it's different with what table result shows. There is any table with missing value (blank cell), but when i mouseover the that cell, it show the value. It is also strange, when I create generated attribute that include the column contains blank cells,…
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Impute Missing Values with Regression
Hello, I imputed missing values with the K-NN model and tested the performance. The performance is bad that is why I want to try imputing missing values with linear regression and check the performance too. Is that actually possible? If yes, which operators do I have to use? Thanks in advance!
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Impute Missing Value operator - Performance
Hello there, I replaced some missing values with the operator "Impute Missing Values" using the KNN scheme. I also normalized it and wanted to check the performance and connect the "Performance" operator inside the "Impute Missing Value" operator but the connection doesn't work. Can't I use performance with the "Impute…
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In what order can i use replace missing value and normalization?
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…
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Predict multiple value based on another value
Hello guys, so, i had this data which represents the contents of soil in x-depth and the data only has limited depth. i tried to make model based on contents of soil in x-depth which going to predict those contents of soil arent shown on the depth. e.g contents of soil in 3 m depths and make this data to predict contents…
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How do i remove columns based on the percentage of missing values in them?
I want to remove columns based on the percentage of missing values in them. Is there any operator by which we can do that?
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How to declare missing polynomial values
Hey guys, this is probably an easy one for someone who knows where to look :smile: i'm currently working on trying out different methods for imputing missing data. For this, i used an existing (complete) dataset and delete values using an R script. However, when i do this to a polynomial attribute, the dataset still shows…
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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…
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Unsupervised prediction using Deep learning, LSTM, with simple data set
Dear rapidminer users, I'm currently working on predicting settlement by time with LSTM. I've followed the LSTM's tutorial process 'Regression of airline passengers' and implemented it to my data for prediction and faced some problems. 1. Operator 'TimeSeries to Tensor' does not allow 'Missing values'. - The point of my…
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How to fill missing values, based on other records in my dataset?
Hello everyone, I am working on data preperation for training a ML algorithm on a classification problem. In my dataset (~23000 records) some values (dates) are missing. The dataset looks like in the screenshot below: Every row is a position on a particular customer order. Every order has a unique Number (column A).…
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impute missing values
Hello I'm trying to impute missing values for my missing data as illustrated in the below image. However, I'm not sure what the right operator should go inside the impute missing values" operator to make this process work fine.
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Need to Use Random Forest Classifier to Replace MIssing Value in Spreadsheets
Hi everyone = i have been using =MODE() etc to impute missing values in column arrays. Sick of this. Seems unsophisticated, and not much fun, either. A more high level ML guy told me that he uses the Random Forest Classifier to rid himself of all the empty cells (which for me are all just in the form of tons of zeros). 2…
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Predict (assign) viewers to emissions
Hi all! I have a data set that contains TV commercial emissions. It has many properties, like - date & time of emission, - GRP value - TV channel - TV show - commercial position (beginning of the block, middle, or end) - Channel subject group (cooking, traveling, etc) each property is important. Date and time determines…
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Missing attributes
Hello, I am having the classical missing attributes problem. I have three nominal attributes, and I want to turn two into numerical, and one into text. When I use nominal to numerical only the attribute I want to turn in to text shows up. I tried the "synchronize meta data with real data" to no avail: the attributes do…
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how can i delete the missing values from dataset? or i delete from the source befor import it??
tell me what to do
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How to identify the number of missing values in each attribute?
What Operator do I need to use to identify the number of missing values in each attribute?