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## Objective
Implement the following Classification Models for classification of whether the ***'mushroom'*** is ***'poisonous'*** or ***'edible'***.
## Tasks
- Data Cleaning & Transformation, …
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Create KNN model (using scikit-learn) on the child vs adult dataset (classification). Calculate the accuracy and confusion matrix
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### Describe the bug
For PAM-LCSS and PAM-EDR sometimes the correct amount of clusters are not assigned. Specifically LCSS on Adiac and EDR on OliveOil assign incorrect number of clusters.
### Steps…
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#### Learning Goals
Learn kNN algorithm for supervised classifications. Preferably use the kNN package from scikit-learn.
### Prerequisites
Some basic of kNN will be assumed. If scikit-learn is …
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We need to remake the [KNN](https://github.com/vsha96/mllib/blob/main/src/Mllib/Classification/KNN.hs) model according to the **basic principles** (see more in [contributing guidelines](https://github…
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### 1. Dataset
[Yoga Posture Dataset ](https://www.kaggle.com/datasets/tr1gg3rtrash/yoga-posture-dataset)
### 2. Feature Engineering
Different treatments according to different algorithms
###…
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### What kind of feature would you like to request?
Additional function parameters / changed functionality / changed defaults?
### Please describe your wishes
First thank you for the amazing …
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Hi @ageron, In chapter 3, under the MultiLabel Classification section you demonstrated the topic using the KNN algorithm, i was quite eager to know how it works i.e., internally how KNN handles the Mu…
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Branch Experimentos Clasificadores y adentro está lo mismo del main y se añadió una carpeta Experimentos Clasificadores que por ahora tiene 2 archivos:
- [Load & Classification Estructurado.ipynb](…
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**Describe the bug**
The bug was found when I ran https://github.com/sktime/sktime/blob/main/sktime/classification/distance_based/tests/test_time_series_neighbors.py#L127-L147
If setting `algorith…