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FOLDER 1 : agaricus - lepiota.data p , x , s , n , t , p , f , c , n , k

FOLDER 1 : agaricus-lepiota.data p,x,s,n,t,p,f,c,n,k,e,e,s,s,w,w,p,w,o,p,k,s,u
e,x,s,y,t,a,f,c,b,k,e,c,s,s,w,w,p,w,o,p,n,n,g
There are nearly 9 thousand lines as above FOLDER 2: agaricus -lepiota.names Logical rules for the mushroom data sets.
Logical rules given below seem to be the simplest possible for the
mushroom dataset and therefore should be treated as benchmark results.
Disjunctive rules for poisonous mushrooms, from most general
to most specific:
P_1) odor=NOT(almond.OR.anise.OR.none)
120 poisonous cases missed, 98.52% accuracy
P_2) spore-print-color=green
48 cases missed, 99.41% accuracy
P_3) odor=none.AND.stalk-surface-below-ring=scaly.AND.
(stalk-color-above-ring=NOT.brown)
8 cases missed, 99.90% accuracy
P_4) habitat=leaves.AND.cap-color=white
100% accuracy
Rule P_4) may also be
P_4') population=clustered.AND.cap_color=white
These rule involve 6 attributes (out of 22). Rules for edible
mushrooms are obtained as negation of the rules given above, for
example the rule:
odor=(almond.OR.anise.OR.none).AND.spore-print-color=NOT.green
gives 48 errors, or 99.41% accuracy on the whole dataset.
Several slightly more complex variations on these rules exist,
involving other attributes, such as gill_size, gill_spacing,
stalk_surface_above_ring, but the rules given above are the simplest
we have found.
4. Relevant Information:
This data set includes descriptions of hypothetical samples
corresponding to 23 species of gilled mushrooms in the Agaricus and
Lepiota Family (pp.500-525). Each species is identified as
definitely edible, definitely poisonous, or of unknown edibility and
not recommended. 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.
5. Number of Instances: 8124
6. Number of Attributes: 22(all nominally valued)
7. Attribute Information: (classes: edible=e, poisonous=p)
1. cap-shape: bell=b,conical=c,convex=x,flat=f,
knobbed=k,sunken=s
2. cap-surface: fibrous=f,grooves=g,scaly=y,smooth=s
3. cap-color: brown=n,buff=b,cinnamon=c,gray=g,green=r,
pink=p,purple=u,red=e,white=w,yellow=y
4. bruises?: bruises=t,no=f
5. odor: almond=a,anise=l,creosote=c,fishy=y,foul=f,
musty=m,none=n,pungent=p,spicy=s
6. gill-attachment: attached=a,descending=d,free=f,notched=n
7. gill-spacing: close=c,crowded=w,distant=d
8. gill-size: broad=b,narrow=n
9. 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
10. stalk-shape: enlarging=e,tapering=t
11. stalk-root: bulbous=b,club=c,cup=u,equal=e, rhizomorphs=z,rooted=r,missing=?
12. stalk-surface-above-ring: fibrous=f,scaly=y,silky=k,smooth=s
13. stalk-surface-below-ring: fibrous=f,scaly=y,silky=k,smooth=s
14. stalk-color-above-ring: brown=n,buff=b,cinnamon=c,gray=g,orange=o pink=p,red=e,white=w,yellow=y
15. stalk-color-below-ring: brown=n,buff=b,cinnamon=c,gray=g,orange=o, pink=p,red=e,white=w,yellow=y
16. veil-type: partial=p,universal=u
17. veil-color: brown=n,orange=o,white=w,yellow=y
18. ring-number: none=n,one=o,two=t
19. ring-type: cobwebby=c,evanescent=e,flaring=f,large=l,none=n,pendant=p,sheathing=s,zone=z
20. spore-print-color: black=k,brown=n,buff=b,chocolate=h,green = r orange=o,purple=u,white=w,yellow=y
21. population: abundant=a,clustered=c,numerous=n scattered=s,several=v,solitary=y
22. habitat: grasses=g,leaves=l,meadows=m,paths=p,urban=u,waste=w,woods=d
8. Missing Attribute Values: 2480 of them (denoted by "?"), all for
attribute #11.
9. Class Distribution: - edible: 4208(51.8%)-poisonous: 3916(48.2%)-total:8124 instances I have the 2 files I posted above, with the same name, attached as text in PayCharm.First of all, this data science project assignment and its subject is random fore classificatication write python code here according to the instructions given. TABLE OF PERCENTAGES,VARIANCE TABLE,CORRELATION CHART,CORRELATION MATRIX,TABLE STATISTICAL,CORRELATION AND CAUSALITY ANALYSIS. We are asked to extract this information from the code and analyze it . Please it one by on and complete it.

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