# Questions tagged [prediction]

Prediction of unknown random quantities, using a statistical model.

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### time series prediction model with minute data

I m trying to apply prediction at my data that is taken from the sensor after 15 min ...
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### Organizing Data for hourly and daily predictions

Let's suppose I'm using SVM (Regression) to predict variable y and I have multiple input variables (x_i) which are data from sensors at intervals of 10 minutes. From an operational point of view, I ...
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### Predicting a Markov chain next state using previously predicted states

Suppose we have a Markov chain with two states A and B. This associated transition matrix is: P_{mc}= \begin{...
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### Predicting game outcomes with moving averages of goals scored

I decided to make a sports gambling script so I could quit my job and never work again. I just started and I read about Poisson distributions (which kind of approximate the chance of X goals getting ...
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### Why does the RMSE value goes high? [duplicate]

I have been trying to predict the glucose values of patients by using regression algorithms. I used Support Vector Regression (RMSE: 65), Logistic Regression (RMSE: 86), Linear Regression(RMSE: 64) ...
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### Is there a guide for when to implement time series techniques?

I am interested in getting a better sense as to when to use time series techniques. Let's say you have a data set with units sold as the response. Your goal is to predict units sold on any given ...
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### Manually predict lognormal survreg model considering parameters uncertainty

I'm analyzing environmental data using the "NADA" R library, which relies heavily on the "survival" package. I am dealing with left-censored data, which are nonetheless strictly positive. To deal with ...
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### Time series model for cryptoprice prediction

I am fairly new to the topic of statistics and data science. My first dataset consists out of the BTC prices since 2013 per minute. The second dataset consits out of posts from a social media platform ...
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### Explanation(s) for unimodal distribution of prediction probability computed by Random Forest

I have a typical binary classification problem with a sample of ~700 instances where I fitted multiple classification models including logistic regression, SVM and Random Forest. The instances are ...
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### Low sample size with independent observations

I am looking at sports team level data (summarized by average in each season) over several seasons and would like to predict/classify the winner of the championship. In a single season, the data has ...
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### Predicting in Coxās time varying proportional hazard model (theoretically as well as using Python)

Are there any ideas on predicting the remaining lifetime (say at time $t_0$) in Coxās time varying proportional hazard model? Im interested in theoretical ideas as well as practical ones for the ...
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### Predicting probability of non-payment for vehicle loans up to 90 days in advance

So I have an interesting problem that I'm working on. I have a dataset of customers from a bank for car loans. For each customer, I also have their associated payment information including repayment ...
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### Predicted probabilities very close to 0 and 1 in GLM model

I've added new attributes to the binary GLM model. AUC climbed to 98%, logistic loss decreased to 0.45. Training set has ~50 cases. I can see that predicted probabilities are extremely close to 0 and ...
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### Performing classification when the potential options of classes are different for every data row/user

I have a problem that I am trying to solve using ML but am not able to determine techniques, hence asking for advice. Appreciate your urgent response! I have a dataset of several users. Each user has ...
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### Deriving variance of prediction error for mean prediction

A regression model yi = a + bxi + ei is given. When a single value of xi0 is observed, the model is yi0 = a + bxi0 + ei0. The prediction variance for a single out of sample prediction is sigma^2* [ ...