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The prediction and the underlying analysis requires you to know the number of variables and number of observations for each variable. If you are predicting the 9th number in variable A {5 1 5 1 5 2 5 1} based on your knowledge of variable B {3 4 3 4 3 2 4 2}, then you have 2 variables and 8 observations.

Unless you specify variables in the file are named as V1, V2, V3, V4, V5 ...
If you would like to name your variables, please click below.

What are the variable names in the data?

Please use single words to name variables. Example: 'Regional-sales' instead of 'Regional sales'.
If you have one variable, you should use the same variable name you have entered above.

Please upload your data file in a comma-separated file format

First row is for the earliest observation, last row is the latest.
First column is the predicted variable by default, last column is the last variable that can be used to explain the predicted variable.
File path:

Decision_variable Value; Decision_variable Value; ...

If your variables have names (computer-use only), an example could be:
Number_of_machines 2; Load_in_machines 25
Please note that variable names are alphanumeric, use single words for variable names

By using this service you agree and accept that is not responsible for the output values or interpretations of the output, any use purposes of the user, leakage of sensitive data beyond our best intentions to protect privacy. does not collect or store the entered data. We store variable names and survey responses in aggregate and only for scientific research purposes and improving the service quality. respects privacy of user data and has no interest in cookies. The provided service aims to enhance the analytic capabilities of users, but it is free of any guarantees. All responsibility belongs to the user.

Prediction model details:

Model Fit with Confusion Matrix

Observations vs. model results


Thank you for predicting with us!