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I see that h2o implements Naive Bayes. Nevertheless, it only assumes gaussian distribution for contiuous covariates. The klaR R package implements kernel density estimation for continuous covariate th…
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### I'm submitting a
- [x] bug report.
### Current Behaviour:
Prediction of GaussianNB fails when trained on very small data.
### Expected Behaviour:
Assertion of Y may fail but should not…
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### Description
Given the dataset on iris flowers, predict the species of flower given the following features :
1. sepal length
2. sepal width
3. petal-length
4. petal-width
There are three …
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### Description
Given dataset with different features of wine, predict its quality. The quality is an integral score between 0 and 10.
The dataset can be found [here](https://archive.ics.uci.edu/ml/…
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Need to gather information about existing machine learning analytics algorithm methodology and its usage.
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In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`](https://s…
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Hi,
I am working with NB, but I get this error: Fatal error: Uncaught Rubix\ML\Exceptions\InvalidArgumentException: Naive Bayes (priors: [spam: 0.3, not spam: 0.7], smoothing: 2.5) is incompatible …
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**This is a(n):**
- [x] New algorithm
- [ ] Update to an existing algorithm
- [ ] Error
- [ ] Proposal to the Repository
**Details:**
The task is to add code for **Naive Bayes algorithm** …
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### Idea Title
Implement Naive Bayes Algorithm
### Idea Description
The Naive Bayes algorithm is a supervised machine learning technique used for classification tasks based on Bayes' theorem. It as…
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Example metrics: `accuracy`, `precision`, `recall`,` F1 score`,` ROC curve`, and `confusion matrix`
• Compare and contrast the results of each technique and provide insights on which method works b…