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Results 61 - 70 of 413 for c (0.04 sec)

  1. 2.3. Clustering — scikit-learn 1.4.2 documentation

    \sum_{q=1}^k n_q (c_q - c_E) (c_q - c_E)^T\] with \(C_q\) the set of...\[\begin{split}C = \left[\begin{matrix} C_{00} & C_{01} \\ C_{10} & C_{11}...
    scikit-learn.org/stable/modules/clustering.html
    Thu May 09 23:01:25 UTC 2024
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  2. Concatenating multiple feature extraction metho...

    svm__C=0.1 [CV 1/5; 1/18] END featur...features__univ_select__k=1, svm__C=0.1;, score=0.933 total time=...
    scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html
    Thu May 09 23:01:25 UTC 2024
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  3. Scaling the regularization parameter for SVCs —...

    results without scaling C results . plot ( x = "C" , ax = axes [ 0 ],...best_C = results . loc [ results [ label ] . idxmax (), "C" ] axes...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html
    Thu May 09 23:01:25 UTC 2024
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  4. Selecting dimensionality reduction with Pipelin...

    "classify__C" : C_OPTIONS , }, { "reduce_dim"...N_FEATURES_OPTIONS , "classify__C" : C_OPTIONS , }, ] reducer_labels...
    scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.html
    Thu May 09 23:01:25 UTC 2024
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  5. Plot classification probability — scikit-learn ...

    logistic" : LogisticRegression ( C = C , penalty = "l1" , solver =...(Multinomial)" : LogisticRegression ( C = C , penalty = "l2" , solver =...
    scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html
    Thu May 09 23:01:25 UTC 2024
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  6. Trump trial live updates: Michael Cohen's texts...

    C. Adam Reiss and Rebecca Shabad...Marquez is based in Washington, D.C. Speaking to reporters outside...
    www.nbcnews.com/politics/donald-trump/live-blog/trump-hush-money-trial-day-11-live-updates-rcna14...
    Sat May 04 00:57:53 UTC 2024
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  7. sklearn.metrics.confusion_matrix — scikit-learn...

    a confusion matrix \(C\) is such that \(C_{i, j}\) is equal to...negatives is \(C_{0,0}\) , false negatives is \(C_{1,0}\) , true...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html
    Thu May 09 23:01:25 UTC 2024
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  8. Plot the decision surface of decision trees tra...

    c = color , label = iris . target_names...for colormapping provided via 'c'. Parameters 'cmap' will be ignored...
    scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html
    Thu May 09 23:01:25 UTC 2024
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  9. t-SNE: The effect of various perplexity values ...

    c = "r" ) ax . scatter ( X [ green...green , 0 ], X [ green , 1 ], c = "g" ) ax . xaxis . set_major_formatter...
    scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html
    Thu May 09 23:01:25 UTC 2024
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  10. Plot the support vectors in LinearSVC — scikit-...

    SVM loss clf = LinearSVC ( C = C , loss = "hinge" , random_state..."k" , ) plt . title ( "C=" + str ( C )) plt . tight_layout ()...
    scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html
    Thu May 09 23:01:25 UTC 2024
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