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Can confidence value for prediction be interchangeably be used with the likelihood for an event?
For example: 0.978 confidence (yes) can be implied as the likelihood (chances) of this event being true is 97.8%.
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Need Help In My Assignment
Predicting credit downgrades
Firms’ credit rating is one of the key parameters in investment, financial and operational
decision making. Your company asked you to assist in the company’s risk evaluation using a
dataset of firms that the company in may consider for investment. The dataset includes financial
variables,…
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Can sarimax be implemented using python learner?
As python learner only support model which can be initialized empty and feature vectore and target are passed in fit function. Is it possible to make it work for sarimax as sarimax cant be initialized empty and there is no way to pass feature vector and target in fit function.
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Gold Price prediction (Prediction or Forecast)
Hello there, I am really new in RM and have been testing out datasets from investing.com which takes XAU/USD pairing as my dataset. The goal is to predict Gold Price prediction movement. In this case, several attributes are given which are Date Price Volume Open Low High Change From this, any possible method to predict…
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Export only label and prediction in CSV
Hi I'm trying to export in CSV file the outcome label and prediction from the result. Unfortunately the operator returns all the dataset with including the label and prediction. Is there any way to filter only these columns?
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How can I make an energy forecast by only using 20 years of total energy consumption data ?
I trust all is doing well. For masters research program I am trying to determine what the future energy consumption will be after the widespread adoption of electric vehicles using machine learning. I collected 20 years of total data for attributes such as, population, GPD, import, export, employment and total energy…
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Time Series Prediction (Forecast into the Future)
Hi All, I have spent the past few days learning the basics of
RapidMiner and looking through the tutorials and existing posts. There are a
lot of examples on time series prediction comparing existing data against predicted/forecasted
data and scoring/ranking the two streams against each other. I am yet to find any…
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Prediction with Deep Learning / LSTM
So far, I have done time series forecasting (e.g., stock
value forecasting) using autoregression ARIMA, using the operators
Retrieve--Filter Examples--ARIMA--Apply Forecast. Since the extensions for LSTM layers are now available, I
wanted to try the time series forecasts with Deep Learning. To do this, I simply replaced…
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Setting the whole matrix dataset as a label
Let's say you have two-time series datasets, the first dataset has five explanatory variables, and the other one is a dependent dataset with about 1000 variables, each representing an individual cell. So how do you set the whole dependent dataset as a label for prediction or regression analysis? If not possible, is it…
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Scoring fails
Hi everyone: I get several models from Auto model, next I want validate these models with another dataset. The new dataset have the same structure (colums, domains and value ranges). I'm using Apply Model with the model from auto model and the new dataset. The problem is what the prediction results are only one class, no…
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How to convert k-means clusters into a prediction with labeled data
Hi, for an assignment in the form of a Kaggle competition (called 2nd Assignment DMT, 2022 VU Data Mining Techniques Cup) I have a very big labeled dataset with data about customers that search and book hotels on a website. Each row has a search ID (so one customer can have multiple searches). A search is a hotel which has…
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How does Adaboost+decision Tree do prediction to my data test?
Hello, I use adaboost parameter with decision tree inside. i use split validation to know the performance. adaboost produce 5 trees. the problem is when i focus to adaboost prediction on record number 6. the prediction is NO (TIDAK) But all of tree that produce by adaboost predict YES (ya) how can i know the calculation of…
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How come there is a difference in the Model and the Prediction in a decision tree made by automodel?
Hi everyone, I am training a model for classic churn prediction. I would like to get a decision tree made by the a feature.What I don't understand is, that it creates a model/tree, but the predictions do not match this tree.As you can see we have a customer (number 12) which was predicted as 'Kündiger' he has a LZ Abo bis…
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Model building
Hello experts, Sagar here I am a process engineer, Actually right now i am working on the project in process engineering of upgrading of the heat exchanger performance and that heat exchanger is operating on the three different feeds and parameters of the heat exchanger is changing as per the input feed now i have data of…
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Rapidminer Payment prediction
Hello over there, I heard there are several temaples for rapidminer processes. Since I want to model a payment prediction model (meaning does a costumer pays ond time and if not how much delay does he has), I would like to know if there are any templates you know or where to find them best wishes
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How can we predict multiple Categories/Attributes of a single dataset using Ensemble Classifier?
Hi Everyone, I am working on a project where I need to predict multiple columns/attributes in the same data using ensemble classifiers. How to do this using Repidminer. Thank You in advance.
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How to Deploy non-predictive model such as Outlier detection/ Clustering model using custom deploy
I have an RM process that contains the K-Means and CMGOS model for clustering and outlier detection, but when I try to deploy these model using Custom Deploy it prompts me to upload either predictive model or Group model containing the last model as Predictive model, Since I do not have a Predictive model in my use case…
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Generate Decision tree
Hello guys i am new to RM and i am working on my semester project where i have to create a decision tree in which we have to predict which user is charge back on e-commerce web site and which is not? i am also attaching the Csv file.i would be great thankful to you if anyone can help me in this
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soccer games outcome prediction ! thanks!
Hi guys, I am a researcher and a new guy for rapidminer. Now I have a really challenging question for predicting soccer games outcome. In the research paper 'Football is becoming boring; Network analysis of 88 thousands matches in 11 major leagues', which is a really good paper, the author suggested a simple way for soccer…
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How does confidence works in Rapidminer
Hello, I am doing modeling from rapidminer and everything works good but I am not understanding the confidence and prediction that It generates. I have YES and NO as outcome variable. This is how it looks like, How does the confidence relates to the prediction? As you can see even with higher percentage of NO confidence it…
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Doubt
Good Morning.Can someone help me with my question?I have the following process which is to predict the value of feat 8, in which I have other feat and these feat affect the value of feat 8.I have this process, someone can tell me if it is possible to place an operator here that makes the outliers, does not contain for the…
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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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Applying prediction model to numerical values
Hi Rapid Miner Community New here, so this is my first question. Hope to take part in this awesome community! I'm trying to dig a bit further into predicting/understand the causes of cost escalation in my job. My problem is a bit in line with the Titanic prediction excercise. Now to the problem: I have a data set…
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Data mining
Hi guys, I was doing a job but I found a problem and I don't know how to start, I'm really new to using the rapidminer, and I would like to know if anyone could help me.
I have to estimate Feature 8 which is the number of maintenance interventions the device has had. What can I do?
Thanks
André
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How do we process a sales data(volumes) for forecasting on the basis of week, month & quarter?
Available attributes: Date, volume, week no, day name, year, month no, month name and quarter no. Also, please guide on how to extract trend/seasonality(eg: day of the week, week of the month, month of the year/quarter) on a weekly, monthly and quarterly basis.