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  "fetched_at": "2026-10-20T05:48:26Z",
  "source_url": "https://www.kaggle.com/competitions/catalanmushrooms/data",
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      "content": "## Data set information \n\n*This data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family (pp. 500-525). [...]. This latter class was combined with the poisonous one. The Guide clearly states that there is no simple rule for determining the edibility of a mushroom; no rule like ``leaflets three, let it be'' for Poisonous Oak and Ivy.*\nThe dataset contains a column called **poisonous**: 0 represents the edible mushrooms, and 1, the poisonous ones.\n\nData Set Characteristics:  Multivariate\nAttribute Characteristics: Categorical\nAssociated Tasks: Classification\nNumber of Instances: 8124\nNumber of Attributes: 22\nMissing Values? Yes\n\n*   **train.csv** - contains all the attributes and if the mushrooms are poisonous or not.\n*   **test.csv** - the test set contains all the basic image attributes we considered to detect if a mushroom is poisonous (1) or not (0).\n*   **sample_submission.csv** - a sample submission file in the correct format\n\n## Attribute Information:\n\n1. cap-shape: bell=b,conical=c,convex=x,flat=f, knobbed=k,sunken=s\n2. cap-surface: fibrous=f,grooves=g,scaly=y,smooth=s\n3. cap-color: brown=n,buff=b,cinnamon=c,gray=g,green=r, pink=p,purple=u,red=e,white=w,yellow=y\n4. bruises?: bruises=t,no=f\n5. odor: almond=a,anise=l,creosote=c,fishy=y,foul=f, musty=m,none=n,pungent=p,spicy=s\n6. gill-attachment: attached=a,descending=d,free=f,notched=n\n7. gill-spacing: close=c,crowded=w,distant=d\n8. gill-size: broad=b,narrow=n\n9. gill-color: black=k,brown=n,buff=b,chocolate=h,gray=g, green=r,orange=o,pink=p,purple=u,red=e, white=w,yellow=y\n10. stalk-shape: enlarging=e,tapering=t\n11. stalk-root: bulbous=b,club=c,cup=u,equal=e, rhizomorphs=z,rooted=r,missing=?\n12. stalk-surface-above-ring: fibrous=f,scaly=y,silky=k,smooth=s\n13. stalk-surface-below-ring: fibrous=f,scaly=y,silky=k,smooth=s\n14. stalk-color-above-ring: brown=n,buff=b,cinnamon=c,gray=g,orange=o, pink=p,red=e,white=w,yellow=y\n15. stalk-color-below-ring: brown=n,buff=b,cinnamon=c,gray=g,orange=o, pink=p,red=e,white=w,yellow=y\n16. veil-type: partial=p,universal=u\n17. veil-color: brown=n,orange=o,white=w,yellow=y\n18. ring-number: none=n,one=o,two=t\n19. ring-type: cobwebby=c,evanescent=e,flaring=f,large=l, none=n,pendant=p,sheathing=s,zone=z\n20. spore-print-color: black=k,brown=n,buff=b,chocolate=h,green=r, orange=o,purple=u,white=w,yellow=y\n21. population: abundant=a,clustered=c,numerous=n, scattered=s,several=v,solitary=y\n22. habitat: grasses=g,leaves=l,meadows=m,paths=p, urban=u,waste=w,woods=d\n23. poisonous: poisonous = 1, edible = 0\n\n## Competition Metric\n\nThe metric used to for this competition would be the **area under receiver operating characteristic curve**, please find more information about it in the following links: \n\n* [Getting Started with ROC Curves](https://www.kaggle.com/getting-started/53782)\n* [How to Use ROC Curves and Precision-Recall Curves for Classification in Python](https://machinelearningmastery.com/roc-curves-and-precision-recall-curves-for-classification-in-python/)\n* [StatQuest video about ROC Curves](https://www.youtube.com/watch?v=4jRBRDbJemM)\n\n## Source: \n\nOrigin:\n\n*Mushroom records drawn from The Audubon Society Field Guide to North American Mushrooms (1981). G. H. Lincoff (Pres.), New York: Alfred A. Knopf*\n\nDonor:\n\nJeff Schlimmer (Jeffrey.Schlimmer '@' a.gp.cs.cmu.edu)\n\n## Acknowledgements\n\n*This dataset was originally donated to the UCI Machine Learning repository. You can learn more about past research using the data here.*",
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      "name": "Description",
      "content": "## Context\n\nEach autumn, in Catalonia, there is a big competition about [mushroom hunting](https://en.wikipedia.org/wiki/Mushroom_hunting). Unfortunately the past years a lot of people has picked a poisonous mushrooms thinking that they were edible, causing an overload on the healthcare system. \nThe Department of Health has asked to develop a model that given basic image attributes of mushrooms we can detect if it is poisonous or not, and give a guidance if which are the features most indicative of a poisonous mushroom.\n\n## Acknowledgements\n\nThis dataset was originally donated to the UCI Machine Learning repository.",
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    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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