Classification Models Calculator

Train machine learning classifiers with your choice of model, hyperparameters, and evaluation settings.

Classification Models

Train machine learning classifiers with your choice of model, hyperparameters, and evaluation settings.

Input Data

Select an outcome column (2+ classes) and numeric or categorical predictors, then pick a classifier and tune its settings.

Data Preview

First 5 rows of your dataset. Column type changes below update the Select Variables section and are sent to the backend when you run analysis.

Age	Score	Passed
23	78	1
25	85	1
22	90	1
24	76	1
26	82	1

Missing values handling

Numeric columns are filled with the mean (or median if skewed), categorical columns with the mode, and any column with more than 30% missing values is dropped.

Apply to variables

Choose which columns missing-value handling applies to. Rows are only dropped or imputed based on the variables selected here.

Select at least one variable, or missing-value handling will use your analysis variables when you run the model.

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Classification Models Calculator