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model_evaluation.rst.txt
ratio (pre-test and post-tests): .. math:: \text{post-test odds} =...\frac{\text{pre-test probability}}{1 - \text{pre-test probability}},...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
Elastic Observability monitors metrics for Micr...
import { test , expect } from "@playwright/test" ; test ( "homepage...requirements. RESOURCE_GROUP = "test" APP_PASSWORD = "SpecifyNewPasswordHe"...www.elastic.co/observability-labs/blog/observability-monitors-metrics-microsoft-azure -
MLPRegressor — scikit-learn 1.5.0 documentation
X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... fit ( X , y ) [source]...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
LinearDiscriminantAnalysis — scikit-learn 1.5.0...
n_features) Array of samples (test vectors). Returns : C ndarray...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
DummyRegressor — scikit-learn 1.5.0 documentation
n_features) Test samples. Passing None as test samples gives...# Perform classification on test vectors X. Parameters : X array-like...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
ElasticNet — scikit-learn 1.5.0 documentation
Train error vs Test error Train error vs Test error Fitting an...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html -
Introducing approximate nearest neighbor search...
called ann-benchmarks which tests the leading algorithms against...and also did well in our own testing. Another benefit of HNSW is...www.elastic.co/blog/introducing-approximate-nearest-neighbor-search-in-elasticsearch-8-0 -
GaussianNB — scikit-learn 1.5.0 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
LabelSpreading — scikit-learn 1.5.0 documentation
on a Text Dataset Semi-supervised Classification on a Text Dataset...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
BernoulliNB — scikit-learn 1.5.0 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html