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ebswtlfcbnecsswwpwopnnm pxsntpfcnkeesswwpwopksu exsytafcbkecsswwpwopnng There are nearly such data in total in the agaricuslepiota.data file given above. Title: Mushroom Database 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 odorNOTalmondORanise.ORnone poisonous cases missed, accuracy P sporeprintcolorgreen cases missed, accuracy P odornone.AND.stalksurfacebelowringscaly.AND. stalkcoloraboveringNOT.brown cases missed, accuracy P habitatleaves.AND.capcolorwhite accuracy Rule P may also be P populationclustered.AND.capcolorwhite These rule involve attributes out of Rules for edible mushrooms are obtained as negation of the rules given above, for example the rule: odoralmondORanise.ORnoneAND.sporeprintcolorNOT.green gives errors, or accuracy on the whole dataset. Several slightly more complex variations on these rules exist, involving other attributes, such as gillsize, gillspacing, stalksurfaceabovering, but the rules given above are the simplest we have found. Relevant Information: This data set includes descriptions of hypothetical samples corresponding to species of gilled mushrooms in the Agaricus and Lepiota Family pp 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. Number of Instances: Number of Attributes: all nominally valued Attribute Information: classes: ediblee poisonousp capshape: bellb conicalc convexx flatf knobbedksunkens capsurface:fibrousf groovesg scalyy smooths capcolor: brownn buffb cinnamonc grayg greenr pinkp purpleu rede whitew yellowy bruises?: bruisest nof odor:almonda anisel creosotec fishyy foulf mustym nonen pungentp spicys gillattachment:attacheda descendingd freef notchedn gillspacing:closec crowdedw distantd gillsize:broadb narrown gillcolor:blackk brownn buffb chocolateh grayg greenr orangeo pinkp purpleu rede whitew yellowy stalkshape:enlarginge taperingt stalkroot:bulbousb clubc cupu equale rhizomorphsz rootedr missing stalksurfaceabovering: fibrousf scalyy silkyk smooths stalksurfacebelowring: fibrousf scalyy silkyk smooths stalkcolorabovering: brownn buffb cinnamonc grayg orangeo pinkp rede whitew yellowy stalkcolorbelowring: brownn buffb cinnamonc grayg orangeo pinkp rede whitew yellowy veiltype: partialp universalu veilcolor:brownn orangeo whitew yellowy ringnumber:nonen oneo twot ringtype:cobwebbyc evanescente flaringf largel nonen pendantp sheathings zonez sporeprintcolor: blackk brownn buffb chocolateh greenr orangeo purpleu whitew yellowy population: abundanta clusteredc numerousn scattereds severalv solitaryy habitat: grassesg leavesl meadowsm pathsp urbanu wastew woodsd Missing Attribute Values: of them denoted by all for attribute # Class Distribution: edible: poisonous: total: instances The second file contains information and features about these mushrooms. I have to make a presentation about the data science course. Location RANDOM FORE CLASSIFICATION. According to this topic, I am asked to write Python code for the files given to me and create graphics with the codes. And I should add pictures. These files appear as 'agaricuslepiota.data' and 'agaricuslepiota.names' as file text in Pycharm. Please prepare a presentation file for me by fulfilling the conditions according to the given topic and most importantly by writing Python codes. And explain what you did one by one. TABLE OF PERCENTAGES,VARIANCE TABLE,CORRELATION CHART,CORRELATION MATRIX,TABLE STATISTICAL,CORRELATION AND CAUSALITY ANALYSIS. The analyzes given above must absolutely be made and explained.
ebswtlfcbnecsswwpwopnnm
pxsntpfcnkeesswwpwopksu
exsytafcbkecsswwpwopnng
There are nearly such data in total in the agaricuslepiota.data file given above.
Title: Mushroom Database
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 odorNOTalmondORanise.ORnone
poisonous cases missed, accuracy
P sporeprintcolorgreen
cases missed, accuracy
P odornone.AND.stalksurfacebelowringscaly.AND.
stalkcoloraboveringNOT.brown
cases missed, accuracy
P habitatleaves.AND.capcolorwhite
accuracy
Rule P may also be
P populationclustered.AND.capcolorwhite
These rule involve attributes out of Rules for edible
mushrooms are obtained as negation of the rules given above, for
example the rule:
odoralmondORanise.ORnoneAND.sporeprintcolorNOT.green
gives errors, or accuracy on the whole dataset.
Several slightly more complex variations on these rules exist,
involving other attributes, such as gillsize, gillspacing,
stalksurfaceabovering, but the rules given above are the simplest
we have found.
Relevant Information:
This data set includes descriptions of hypothetical samples
corresponding to species of gilled mushrooms in the Agaricus and
Lepiota Family pp 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.
Number of Instances:
Number of Attributes: all nominally valued
Attribute Information: classes: ediblee poisonousp
capshape: bellb conicalc convexx flatf knobbedksunkens
capsurface:fibrousf groovesg scalyy smooths
capcolor: brownn buffb cinnamonc grayg greenr pinkp purpleu rede whitew yellowy
bruises?: bruisest nof
odor:almonda anisel creosotec fishyy foulf mustym nonen pungentp spicys
gillattachment:attacheda descendingd freef notchedn
gillspacing:closec crowdedw distantd
gillsize:broadb narrown
gillcolor:blackk brownn buffb chocolateh grayg greenr orangeo pinkp purpleu rede whitew yellowy
stalkshape:enlarginge taperingt
stalkroot:bulbousb clubc cupu equale rhizomorphsz rootedr missing
stalksurfaceabovering: fibrousf scalyy silkyk smooths
stalksurfacebelowring: fibrousf scalyy silkyk smooths
stalkcolorabovering: brownn buffb cinnamonc grayg orangeo
pinkp rede whitew yellowy
stalkcolorbelowring: brownn buffb cinnamonc grayg orangeo
pinkp rede whitew yellowy
veiltype: partialp universalu
veilcolor:brownn orangeo whitew yellowy
ringnumber:nonen oneo twot
ringtype:cobwebbyc evanescente flaringf largel nonen pendantp sheathings zonez
sporeprintcolor: blackk brownn buffb chocolateh greenr orangeo purpleu whitew yellowy
population: abundanta clusteredc numerousn scattereds severalv solitaryy
habitat: grassesg leavesl meadowsm pathsp urbanu wastew woodsd
Missing Attribute Values: of them denoted by all for
attribute #
Class Distribution:
edible:
poisonous:
total: instances
The second file contains information and features about these mushrooms.
I have to make a presentation about the data science course. Location
RANDOM FORE CLASSIFICATION.
According to this topic, I am asked to write Python code for the files given to me and create graphics with the codes. And I should add pictures.
These files appear as 'agaricuslepiota.data' and 'agaricuslepiota.names' as file text in Pycharm.
Please prepare a presentation file for me by fulfilling the conditions according to the given topic and most importantly by writing Python codes.
And explain what you did one by one.
TABLE OF PERCENTAGES,VARIANCE TABLE,CORRELATION CHART,CORRELATION MATRIX,TABLE STATISTICAL,CORRELATION AND CAUSALITY ANALYSIS.
The analyzes given above must absolutely be made and explained.
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