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Model Selection — scikit-learn 1.7.2 documentation
(ROC) Nested versus non-nested cross-validation Nested versus...regularization on training and test error Effect of model regularization...scikit-learn.org/stable/auto_examples/model_selection/index.html -
Non-negative least squares — scikit-learn 1.7.2...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.5 ) Fit the Non-Negative...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
PredefinedSplit — scikit-learn 1.7.2 documentation
Provides train/test indices to split data into train/test sets using...The entry test_fold[i] represents the index of the test set that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
RegressorChain — scikit-learn 1.7.2 documentation
test) splits as arrays of indices....coefficient of determination on test data. The coefficient of determination,...scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html -
Principal Component Regression vs Partial Least...
X_test , y_train , y_test = train_test_split ( X ,...scatter ( pca . transform ( X_test ), y_test , alpha = 0.3 , label =...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Examples of Using FrozenEstimator — scikit-lear...
X_test , y_train , y_test = train_test_split ( X ,...( X_test )[:, 1 ] clf_score = brier_score_loss ( y_test , prob_pos_clf...scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html -
OAS — scikit-learn 1.7.2 documentation
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
7.1. Pipelines and composite estimators — sciki...
X_test , y_train , y_test = train_test_split ( X ,...score: { regr . score ( X_test , y_test ) : .2f } " ) R2 score:...scikit-learn.org/stable/modules/compose.html -
Introducing the set_output API — scikit-learn 1...
X_test , y_train , y_test = train_test_split ( X ,...X_train ) X_test_scaled = scaler . transform ( X_test ) X_test_scaled...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
Confusion matrix — scikit-learn 1.7.2 documenta...
set and a test set X_train , X_test , y_train , y_test = train_test_split...from_estimator ( classifier , X_test , y_test , display_labels = class_names...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
DBFlute Example (サンプル) | DBFlute
MySQL dbflute-test-dbms-mysql PostgreSQL dbflute-test-dbms-postgresql...Oracle dbflute-test-dbms-oracle DB2 dbflute-test-dbms-db2 SQLServer...dbflute.seasar.org/ja/manual/reference/example/index.html -
Face completion with a multi-output estimators ...
randint ( test . shape [ 0 ], size = ( n_faces ,)) test = test [ face_ids...2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test = test...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
RepeatedStratifiedKFold — scikit-learn 1.7.2 do...
print ( f " Test: index= { test_index } " ) ... Fold...index=[1 2] Test: index=[0 3] Fold 1: Train: index=[0 3] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
ExtraTreeRegressor — scikit-learn 1.7.2 documen...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.33 apply ( X , check_input...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html -
Feature discretization — scikit-learn 1.7.2 doc...
training and test part X_train , X_test , y_train , y_test = train_test_split...and testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
Comparing Target Encoder with Other Encoders — ...
"rmse_test_mean" : rmse_test_score . mean (), "rmse_test_std"...= True , ) rmse_test_score = - result [ "test_score" ] rmse_train_score...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html -
Underfitting vs. Overfitting — scikit-learn 1.7...
plot ( X_test , pipeline . predict ( X_test [:, np . newaxis..."Model" ) plt . plot ( X_test , true_fun ( X_test ), label = "True function"...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
GroupKFold — scikit-learn 1.7.2 documentation
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
LeavePGroupsOut — scikit-learn 1.7.2 documentation
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
RandomForestClassifier — scikit-learn 1.7.2 doc...
max_leaf_nodes in best-first fashion. Best nodes are defined...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html