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Post-tuning the decision threshold for cost-sen...
- 1 ], # -1 gain for false positives [..., ) axs [ 1 ] . set_title ( "ROC curve" ) axs [ 1 ] . legend...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Custom refit strategy of a grid search with cro...
precision: 1.000 (±0.000), recall: 0.854 (±0.063), for {'C': 1, 'gamma':...precision: 1.000 (±0.000), recall: 0.257 (±0.061), for {'C': 1, 'gamma':...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
Probabilistic predictions with Gaussian process...
875 Accuracy: 1.000 (initial) 1.000 (optimized) Log-loss:...GaussianProcessClass ( kernel = 1.0 * RBF ( length_scale = 1.0 ), optimizer =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Illustration of Gaussian process classification...
kernels = [ 1.0 * RBF ( length_scale = 1.15 ), 1.0 * DotProduct...)[:, 1 ] Z = Z . reshape ( xx . shape ) plt . subplot ( 1 , 2...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
3.1. Cross-validation: evaluating estimator per...
3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...>>> y = [ 1 , 1 , 1 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/cross_validation.html -
inplace_csr_row_normalize_l1 — scikit-learn 1.5...
1 , 2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0 , 3.0...0. ], [0. , 0. , 1. , 0. ], [0. , 0. , 0. , 1. ]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
CCA — scikit-learn 1.5.2 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...version 1.5: Y is deprecated in 1.5 and will be removed in 1.7. Use...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
DotProduct — scikit-learn 1.5.2 documentation
1)\) priors on the coefficients of \(x_d (d = 1, . . ....nels. DotProduct ( sigma_0 = 1.0 , sigma_0_bounds = (1e-05, 100000.0)...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
Nested versus non-nested cross-validation — sci...
= { "C" : [ 1 , 10 , 100 ], "gamma" : [ 0.01 , 0.1 ]} # We will...Iris Dataset" , x = 0.5 , y = 1.1 , fontsize = "15" , ) # Plot...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
Outlier detection with Local Outlier Factor (LO...
n_neighbors ) is typically set 1) greater than the minimum number...ground_truth [ - n_outliers :] = - 1 Fit the model for outlier detection...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html