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  1. Jul 4, 2024 · Support Vector Machine. Support Vector Machine (SVM) is a supervised machine learning algorithm used for both classification and regression. Though we say regression problems as well it’s best suited for classification. The main objective of the SVM algorithm is to find the optimal hyperplane in an N-dimensional space that can separate the ...

  2. en.wikipedia.org › wiki › Type_theoryType theory - Wikipedia

    3 days ago · Type theory was created to avoid a paradox in a mathematical equation based on naive set theory and formal logic. Russell's paradox (first described in Gottlob Frege's The Foundations of Arithmetic) is that, without proper axioms, it is possible to define the set of all sets that are not members of themselves; this set both contains itself and does not contain itself.

  3. Jul 8, 2024 · A confusion matrix is a matrix that summarizes the performance of a machine learning model on a set of test data. It is a means of displaying the number of accurate and inaccurate instances based on the model’s predictions. It is often used to measure the performance of classification models, which aim to predict a categorical label for each ...

  4. Jun 29, 2024 · The spontaneous desire to draw and paint exists since the origins of human civilization, of which “cave paintings” are a first example. The term Naïf Art was used for the first time at the turn of the 19th century, to describe the painting of Henri Rousseau, a self-taught painter admired by the artistic “avant-garde” of the time, which included geniuses such as Picasso, Matisse and ...

  5. Jun 28, 2024 · The ZFC “ axiom of extension ” conveys the idea that, as in naive set theory, a set is determined solely by its members. It should be noted that this is not merely a logically necessary property of equality but an assumption about the membership relation as well. The set defined by the “ axiom of the empty set ” is the empty (or null ...

  6. Jun 20, 2024 · Logistic regression is a supervised machine learning algorithm used for classification tasks where the goal is to predict the probability that an instance belongs to a given class or not. Logistic regression is a statistical algorithm which analyze the relationship between two data factors.

  7. 6 days ago · Initially, we have to load the required dataset in the weka tool using choose file option. Here we are selecting the weather-nominal dataset to execute. Now we have to go to the classify tab on the top left side and click on the choose button and select the Naive Bayesian algorithm in it. Now to change the parameters click on the right side at ...