Posts Tagged ‘machine learning’

Looking at a Regressor for Out-of-sample predictions

Last week I talked about using a random classifier model for continuous out-of-sample predictions using the past three months of OS performance data to make a decision about whether a system is or is not likely to be profitable for the following three months. With the positive results we obtained with this approach in validation sets […]

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