Questions tagged [arima]
arima (autoregressive integrated moving average.) It's a model used in data science to measure events that happen over a period of time. The model is used to understand past data or predict future data in time series.
57 questions
2 votes
0 answers
15 views
Combining (interrupted) time-series analysis and machine learning to predict how an intervention will perform
I am working on a project that requires machine learning analysis, but I'm new to the field and still learning about different models. I just wanted to ask the community about the best model or ...
- 21
3 votes
1 answer
291 views
regression model outperform every models
I followed from this question. Case1: I have the following task: Train for consecutive 3 days to predict each fourth day. Each day's data represents one CSV file, which has dimensions 24x25. Each ...
- 95
0 votes
0 answers
52 views
SARIMA - 1 day gap between prediction vs observed data after removing seasonality
I need to identify outliers in my data, ranging from 2023-01-01 to 2024-08-31. My data is stationary and has seasonality of 7 days. I've decided to use the SARIMA model, by using SARIMAX in Python to ...
- 1
0 votes
1 answer
74 views
Daily Balance Prediction Using LSTM & ARIMA
I have the daily transaction history of a person from 1/1/2022 to 6/24/2024 in a csv file. The data is divided into train (1/1/2022 to 5/25/2024) and test (remaining). The data is given as : Date ...
- 101
1 vote
1 answer
113 views
Beginner Question on ARIMA
I have started learning time series forecasting and struggling a bit with the concept of differencing, particularly for (S)ARIMA(X) model, which is often recommended model to start with. I am trying ...
- 119
1 vote
1 answer
158 views
How do I work with time-series data of temperature?
So I have some equipment temperature and i have outside temperature (both are collected daily) and I want to predict the equipment temperature. However, I'm new to this and unsure about which model to ...
- 11
0 votes
1 answer
360 views
Should I choose an ARIMA model (2,1,1) with a higher AIC value or an ARIMA model (6,1,8) with a lower AIC value?
I am trying to fit an ARIMA model to time series data. When I fit the model using auto.arima function in R, ...
- 103
0 votes
1 answer
179 views
Timeseries Sales Forecasting
In my current work sales forecasting and budgeting is being done rather classical way: Take the sales from last year for comparable date and add or decrease X% on top to reflect recent trend. This ...
- 119
1 vote
2 answers
627 views
Supervised or Unsupervised Learning Classification: Facebook Prophet vs. ARIMA
I'm currently exploring time series forecasting and considering the use of Facebook's Prophet and ARIMA models. I'm a bit confused about whether these approaches fall under supervised or unsupervised ...
0 votes
1 answer
105 views
How to predict in a forecasting model when the data after training and prediction is missing?
Let's say we have a forecasting model that was trained on any data before 2021 and now we need to make a prediction on data in 2023, for an accurate prediction we need to either give the data of 2022 ...
- 101
0 votes
1 answer
315 views
Time Series: ARIMA vs Random Forest Regressor
I have two model prediction results: Using ARIMA model Using Machine learning model where I used Random Forest Regressor How do we compare these two? Is conventional time series modelling better or, ...
- 1
0 votes
1 answer
133 views
How to pass time series data to SARIMA, ARIMA, SARIMAX, etc
I am trying to predict stock price of a company, the data is non stationary. Steps I followed - Analyze the raw data Determine whether the raw time series data is stationary or not using ADF and KPSS ...
- 363
0 votes
1 answer
609 views
Remove Seasonality before applying SARIMA model on weekly data?
I am trying to predict average weekly stock prices for time series data. Steps I followed: I tested the data to check whether it was stationary or not using ADF ...
- 363
1 vote
1 answer
331 views
Seasonal ARIMA?
Greatly enjoy exploring data in Orange Data Mining! I have daily average temperature data for several years. I can plot the periodogram, and do a seasonal decompose. Is there a way to forecast the ...
- 13
0 votes
0 answers
102 views
Model for predicting temperature data of fridge
I set up a sensor which measures temperature data every 3 seconds. I collected the data for 3 days and have 60.000 rows in my csv export. Now I would like to forecast the next few days. When looking ...
- 1