Algorithm Comparison - Example
This experiment uses the sample income dataset to compare the results of several different binary classification algorithms.
The income dataset is split into 3 partitions: train (60%), test (20%), tune (20%). The Tune Model Hyperparameters module is then leveraged to get optimized results for several different binary classification algorithms. The best resulting models are then scored and compared against each other with a friendly output that makes it easy to view the varying results.
