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1.d add and review tests and recovery
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@qnater
qnater committed Nov 22, 2024
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2 changes: 1 addition & 1 deletion .idea/workspace.xml
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9 changes: 0 additions & 9 deletions tests/test_benchmarking.py
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Original file line number Diff line number Diff line change
Expand Up @@ -198,12 +198,3 @@ def test_benchmarking_matrix(self):
validation = Benchmarking().generate_matrix(scores_list, algos, sets, "./reports", False)

self.assertTrue(validation)

test_plots = {"drift": {"mcar":
{"mean": {"bayesian": { "0.05": {"scores": {"RMSE": -1, "MAE": 1, "MI": 2, "CORRELATION": 3}, "times": {"contamination": 4, "optimization": 5, "imputation": 6}}, "0.2": {"scores": {"RMSE": 1, "MAE": 2, "MI": 3, "CORRELATION": 4}, "times": {"contamination": 5, "optimization": 6, "imputation": 7}}, "0.4": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.6": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.8": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}}},
"cdrec": {"bayesian": { "0.05": {"scores": {"RMSE": 50, "MAE": 1, "MI": 2, "CORRELATION": 3}, "times": {"contamination": 4, "optimization": 5, "imputation": 6}}, "0.2": {"scores": {"RMSE": 1, "MAE": 2, "MI": 3, "CORRELATION": 4}, "times": {"contamination": 5, "optimization": 6, "imputation": 7}}, "0.4": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.6": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.8": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}}},
"stmvl": {"bayesian": { "0.05": {"scores": {"RMSE": 20, "MAE": 1, "MI": 2, "CORRELATION": 3}, "times": {"contamination": 4, "optimization": 5, "imputation": 6}}, "0.2": {"scores": {"RMSE": 1, "MAE": 2, "MI": 3, "CORRELATION": 4}, "times": {"contamination": 5, "optimization": 6, "imputation": 7}}, "0.4": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.6": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.8": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}}},
"mrnn": {"bayesian": { "0.05": {"scores": {"RMSE": 30, "MAE": 1, "MI": 2, "CORRELATION": 3}, "times": {"contamination": 4, "optimization": 5, "imputation": 6}}, "0.2": {"scores": {"RMSE": 1, "MAE": 2, "MI": 3, "CORRELATION": 4}, "times": {"contamination": 5, "optimization": 6, "imputation": 7}}, "0.4": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.6": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.8": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}}},
"iim": {"bayesian": { "0.05": {"scores": {"RMSE": -100, "MAE": 1, "MI": 2, "CORRELATION": 3}, "times": {"contamination": 4, "optimization": 5, "imputation": 6}}, "0.2": {"scores": {"RMSE": 1, "MAE": 2, "MI": 3, "CORRELATION": 4}, "times": {"contamination": 5, "optimization": 6, "imputation": 7}}, "0.4": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.6": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}, "0.8": {"scores": {"RMSE": 0.5, "MAE": 1.5, "MI": 2.5, "CORRELATION": 3.5}, "times": {"contamination": 4.5, "optimization": 5.5, "imputation": 6.5}}}},
}}}

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