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3.4. Metrics and scoring: quantifying the quali...
D. Kelleher, Brian Mac Namee, Aoife D’Arcy, Fundamentals...981-991. 3.4.4.20. D² score for classification # The D² score computes...scikit-learn.org/stable/modules/model_evaluation.html -
Zohran Mamdani says mayors shouldn't 'police sp...
D.C. Boston Bay Area South Florida...at the time, Rep. Dan Goldman, D-N.Y., who represents parts of...www.nbcnews.com/politics/elections/zohran-mamdani-says-mayors-shouldnt-police-speech-condemn-inti... -
Democrats struggle to come up with a unified re...
D-Va., and Sen. John Fetterman, D-Pa., have had...Worth Philadelphia Washington, D.C. Boston Bay Area South Florida...www.nbcnews.com/politics/congress/democrats-struggle-unified-response-trump-iran-strikes-rcna214504 -
Minnesota shootings reignite security concerns ...
D-N.Y., and Rep. Joe Morelle, D.N.Y., the ranking...Worth Philadelphia Washington, D.C. Boston Bay Area South Florida...www.nbcnews.com/politics/congress/minnesota-shootings-reignite-security-concerns-members-congress... -
operational-resilience-generative-ai-cheat-sheet
D:20240617190436-03'00' Adobe PDF...Adobe InDesign 19.4 (Macintosh) D:20240627092754-04'00'...www.elastic.co/pdf/portfolio/operational-resilience-generative-ai-cheat-sheet -
1.10. Decision Trees — scikit-learn 1.7.0 docum...
dataset \(D\) is defined as follows: \[\mathrm{LL}(D, T) = -\frac{1}{n}...y_i) \in D} \sum_k I(y_i = k) \log(T_k(x_i))\] where \(D\) is a...scikit-learn.org/stable/modules/tree.html -
model_evaluation.rst.txt
D. Kelleher, Brian Mac Namee, Aoife D'Arcy, `Fundamentals..._d2_score_classification: D² score for classification ---------- The D² score computes...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
RBF — scikit-learn 1.7.0 documentation
x_j) = \exp\left(- \frac{d(x_i, x_j)^2}{2l^2} \right)\] where...length scale of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
1.2. Linear and Quadratic Discriminant Analysis...
training sample \(x \in \mathcal{R}^d\) : \[P(y=k | x) = \frac{P(x |...\[P(x | y=k) = \frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2}...scikit-learn.org/stable/modules/lda_qda.html -
FeatureHasher — scikit-learn 1.7.0 documentation
FeatureHasher ( n_features = 10 ) >>> D = [{ 'dog' : 1 , 'cat' : 2 , 'elephant'...5 }] >>> f = h . transform ( D ) >>> f . toarray () array([[...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html