- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 191 - 200 of 840 for tests (0.24 sec)
-
Comparing Nearest Neighbors with and without Ne...
X_test , y_train , y_test = train_test_split ( X ,...score = clf . score ( X_test , y_test ) _ , ax = plt . subplots...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html -
Release Highlights for scikit-learn 0.24 — scik...
X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( X ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
OAS — scikit-learn 1.6.1 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 -
Confusion matrix — scikit-learn 1.6.1 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 -
How to increase primary shard count in Elastics...
After adding the test_split_source alias to the test_split_target...After adding the test_split_source alias to the test_split_target...www.elastic.co/search-labs/blog/elasticsearch-increase-primary-shard-count -
Effect of varying threshold for self-training —...
train_index ] X_test = X [ test_index ] y_test = y [ test_index ] y_test_true...y_test_true = y_true [ test_index ] self_training_clf . fit (...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
Post-hoc tuning the cut-off point of decision f...
value_counts () class tested_negative 500 tested_positive 268 Name:..."train_accuracy" , "test_accuracy" , "train_balanced_accuracy" , "test_balanced_accuracy"...scikit-learn.org/stable/auto_examples/model_selection/plot_tuned_decision_threshold.html -
Underfitting vs. Overfitting — scikit-learn 1.6...
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 -
RFECV — scikit-learn 1.6.1 documentation
test) splits as arrays of indices....the following keys: split(k)_test_score ndarray of shape (n_s...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
Curve Fitting with Bayesian Ridge Regression — ...
increasing = True ) X_test = np . vander ( x_test , n_order + 1 , increasing...predict ( X_test , return_std = True ) ax . plot ( x_test , func (...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html