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Logging training Running DummyRegressor() r2: -0.001 neg_mean_squared_error: -7523.699 === new best DummyRegressor() (using r2): r2: -0.001 neg_mean_squared_error: -7523.699 Running DecisionTreeRegressor(max_depth=1) r2: 0.800 neg_mean_squared_error: -1504.400 === new best DecisionTreeRegressor(max_depth=1) (using r2): r2: 0.800 neg_mean_squared_error: -1504.400 Running DecisionTreeRegressor(max_depth=5) r2: 0.999 neg_mean_squared_error: -6.230 === new best DecisionTreeRegressor(max_depth=5) (using r2): r2: 0.999 neg_mean_squared_error: -6.230 Running Ridge(alpha=10) r2: 1.000 neg_mean_squared_error: -1.068 === new best Ridge(alpha=10) (using r2): r2: 1.000 neg_mean_squared_error: -1.068 Running Lasso(alpha=10) r2: 0.986 neg_mean_squared_error: -101.572 Best model: Ridge(alpha=10) Best Scores: r2: 1.000 neg_mean_squared_error: -1.068 |