linear regressor
multiple regressor
regressor model
regressor analysis
regressor variable
regressor function
regressor coefficient
regressor selection
regressor training
regressor output
the model uses a regressor to predict the outcome.
a linear regressor can help in understanding relationships.
we implemented a regressor for our data analysis.
the regressor showed significant improvement in accuracy.
choosing the right regressor is crucial for the model.
we trained the regressor on a large dataset.
the regressor's parameters need careful tuning.
cross-validation helps in evaluating the regressor's performance.
a polynomial regressor can capture non-linear trends.
we compared different regressors for better results.
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