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l1_min_c — scikit-learn 1.8.0 documentation
Gallery examples: Regularization path of L1- Logistic Regressionscikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html -
add_dummy_feature — scikit-learn 1.8.0 do...
Skip to main content Back to top Ctrl + K GitHub Choose version add_dummy_feature # sklearn.preprocessing. add_dummy_...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html -
Normal, Ledoit-Wolf and OAS Linear Discriminant...
This example illustrates how the Ledoit-Wolf and Oracle Approximating Shrinkage (OAS) estimators of covariance can improve classification. Total running time of the script:(0 minutes 8.370 seconds)...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
Bisecting K-Means and Regular K-Means Performan...
This example shows differences between Regular K-Means algorithm and Bisecting K-Means. While K-Means clusterings are different when increasing n_clusters, Bisecting K-Means clustering builds on to...scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html -
Statistical comparison of models using grid sea...
Documentation for GridSearchCV i Fitted...SVC(random_state=0) SVC ? Documentation for SVC Parameters C C:...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html -
1.1. Linear Models — scikit-learn 1.8.0 d...
Examples Classification of text documents using sparse features 1.1.2.3....Stochastic Gradient Descent documentation section for more details....scikit-learn.org/stable/modules/linear_model.html -
Support Vector Regression (SVR) using linear an...
Toy example of 1D regression using linear, polynomial and RBF kernels. Generate sample data: Fit regression model: Look at the results: Total running time of the script:(0 minutes 5.689 seconds) La...scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html -
Post-tuning the decision threshold for cost-sen...
Documentation for HistGradientBoosting...TunedThresholdClassi ? Documentation for TunedThresholdClassi...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
One-class SVM with non-linear kernel (RBF) R...
An example using a one-class SVM for novelty detection. One-class SVM is an unsupervised algorithm that learns a decision function for novelty detection: classifying new data as similar or differen...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
Model Selection — scikit-learn 1.8.0 docu...
Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...scikit-learn.org/stable/auto_examples/model_selection/index.html