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Mushroom-Classification

This project focuses on classifying mushrooms as edible or poisonous using a classification model. The dataset contains various features of mushrooms that can help determine their edibility. The goal is to build a robust classification model to assist in identifying whether a mushroom is safe to eat or not.

Dataset Description

The Mushroom Classification dataset is sourced from the UCI Machine Learning Repository. It includes 22 categorical features and one target variable, which indicates whether a mushroom is edible or poisonous.

class: Edible (e) or Poisonous (p) cap-shape: bell=b, conical=c, convex=x, flat=f, knobbed=k, sunken=s cap-surface: fibrous=f, grooves=g, scaly=y, smooth=s cap-color: brown=n, buff=b, cinnamon=c, gray=g, green=r, pink=p, purple=u, red=e, white=w, yellow=y bruises: bruises=t, no=f odor: almond=a, anise=l, creosote=c, fishy=y, foul=f, musty=m, none=n, pungent=p, spicy=s gill-attachment: attached=a, descending=d, free=f, notched=n gill-spacing: close=c, crowded=w, distant=d gill-size: broad=b, narrow=n 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 stalk-shape: enlarging=e, tapering=t stalk-root: bulbous=b, club=c, cup=u, equal=e, rhizomorphs=z, rooted=r, missing=? stalk-surface-above-ring: fibrous=f, scaly=y, silky=k, smooth=s stalk-surface-below-ring: fibrous=f, scaly=y, silky=k, smooth=s stalk-color-above-ring: brown=n, buff=b, cinnamon=c, gray=g, orange=o, pink=p, red=e, white=w, yellow=y stalk-color-below-ring: brown=n, buff=b, cinnamon=c, gray=g, orange=o, pink=p, red=e, white=w, yellow=y veil-type: partial=p, universal=u veil-color: brown=n, orange=o, white=w, yellow=y ring-number: none=n, one=o, two=t ring-type: cobwebby=c, evanescent=e, flaring=f, large=l, none=n, pendant=p, sheathing=s, zone=z spore-print-color: black=k, brown=n, buff=b, chocolate=h, green=r, orange=o, purple=u, white=w, yellow=y population: abundant=a, clustered=c, numerous=n, scattered=s, several=v, solitary=y habitat: grasses=g, leaves=l, meadows=m, paths=p, urban=u, waste=w, woods=d

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This project focuses on classifying mushrooms as edible or poisonous using a classification model. The dataset contains various features of mushrooms that can help determine their edibility. The goal is to build a robust classification model to assist in identifying whether a mushroom is safe to eat or not.

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