Quantify the Impact
of Your Data
Upload training and test datasets, define your target column, and instantly get predictive insights—ready to download and analyze.
Upload the main dataset the model will use to learn patterns and make predictions.
Example: A table of past user behavior with columns like “age,” “purchase amount,” and “churned (yes/no).”
Example: A table of past user behavior with columns like “age,” “purchase amount,” and “churned (yes/no).”
Provide a new dataset to test the model’s performance or generate predictions on unseen data.
Example: A recent set of users for whom you want to predict the likelihood of churn using the trained model.
Example: A recent set of users for whom you want to predict the likelihood of churn using the trained model.
Select the target column that contains the value the model should learn to predict.
Example: “churned” if you’re trying to classify whether users will stay or leave.
Example: “churned” if you’re trying to classify whether users will stay or leave.
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