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  2. One-hot - Wikipedia

    en.wikipedia.org/wiki/One-hot

    Because this process creates multiple new variables, it is prone to creating a 'big p' problem (too many predictors) if there are many unique values in the original column. Another downside of one-hot encoding is that it causes multicollinearity between the individual variables, which potentially reduces the model's accuracy. [citation needed]

  3. Dummy variable (statistics) - Wikipedia

    en.wikipedia.org/wiki/Dummy_variable_(statistics)

    Dummy variables are commonly used in regression analysis to represent categorical variables that have more than two levels, such as education level or occupation. In this case, multiple dummy variables would be created to represent each level of the variable, and only one dummy variable would take on a value of 1 for each observation.

  4. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    Examples of categorical features include gender, color, and zip code. Categorical features typically need to be converted to numerical features before they can be used in machine learning algorithms. This can be done using a variety of techniques, such as one-hot encoding, label encoding, and ordinal encoding.

  5. Feature hashing - Wikipedia

    en.wikipedia.org/wiki/Feature_hashing

    Therefore, the bags of words for a set of documents is regarded as a term-document matrix where each row is a single document, and each column is a single feature/word; the entry i, j in such a matrix captures the frequency (or weight) of the j 'th term of the vocabulary in document i. (An alternative convention swaps the rows and columns of ...

  6. Multi-label classification - Wikipedia

    en.wikipedia.org/wiki/Multi-label_classification

    The scikit-learn Python package implements some multi-labels algorithms and metrics. The scikit-multilearn Python package specifically caters to the multi-label classification. It provides multi-label implementation of several well-known techniques including SVM, kNN and many more.

  7. State encoding for low power - Wikipedia

    en.wikipedia.org/wiki/State_encoding_for_low_power

    For such FSM, one-hot encoding guarantees switching of two bits for every state change. But since the number of state variables needed is equal to the number of states, as states increase, one-hot encoding becomes an impractical solution, mainly because with an increased number of inputs and outputs to the circuit, complexity and capacitive ...

  8. I booked a small suite in the airport while traveling with my ...

    www.aol.com/booked-small-suite-airport-while...

    During a global tech outage, our flight was delayed by hours. My toddler bounced off the walls, and we all needed a break from the airport. I booked a Minute Suite for us to decompress, which ...

  9. One hot encoding - Wikipedia

    en.wikipedia.org/?title=One_hot_encoding&redirect=no

    This page was last edited on 17 November 2006, at 00:14 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.