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We have linear regression but from what I can see we don't have linear discriminant analysis which is the equivalent algorithm for classification. We even have the iris dataset which was created to de…
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Which of the following lists examples of high-bias but low-variance machine learning algorithms?
Select one:
- A. Linear Regression, Decision Trees, Logistic Regression
- B. Decision Trees, Lin…
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- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA) also known as Fisher's LDA
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- Kernel Principal Component Analysis (KPCA)
- Kernel Linear Discriminant Analysis (KLDA) also known as Kernel Fisher's LDA
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Hi there,
How do I obtain the coefficients that define my linear discriminant analysis?
Thank you
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** types. of algorithms.
1. Linear discriminant analysis
2. Regression
3. Naive Bayes
4. Support vector machines
5. Classification and regression trees
6. Random forests
7. Boosting
etc.
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### Some of the most common ML Algorithms are listed below. Feel free to suggest other algorithms, not on the list. and we'll update it.
**Name**
- [ ] Multiple Linear Regression
- [ ] Lasso Re…
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I propose the inclusion of both the Discriminant function analysis and the Permuted discriminant function analysis in JASP. At present, as far as I can tell, neither of these analysis functions are a…
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- [ ] Apply at least four different learning algorithms (from different major groups: Support Vector Machines, Neural Networks, Nearest Neighbor Classifiers, Naive Bayes, Decision Trees, Generalized L…
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I know that most of the times labels will not be constant, however I am using `check_estimator` to check a custom estimator which has a `base_estimator` attribute and scikit-learn chooses LinearDiscri…