Project 2 Data Mining Part 1
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This document discusses a project analyzing a mushroom dataset containing descriptions of 23 species of gilled mushrooms to determine if they are edible or poisonous. The dataset includes 8,124 instances with 22 attributes describing intrinsic mushroom characteristics and external factors. A decision tree model achieved 100% accuracy in classification by considering attributes like odor, habitat, population density, and cap/stalk features. Further analysis found odor and spore print color were the most statistically significant but not practical for identification in the field. Future work aims to develop easier visual classification methods using attributes like habitat, population density, and cap/stalk characteristics.
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• Project Abstract, Synopsis, Detailed Study
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• Project Report, Relevant Materials.
• Working Procedure of the Project, Source Code of the Project
TOPICS COVERED:
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1. IEEE Projects
2. Embedded
3. Electrical&Electronics projects
4. Bio-medical 5.VLSI
ABOUT PROJECT TECHNOLOGIES @ SHPINE
1. JAVA
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3. C
4. MATLAB
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CONTACT DETAILS:
No:24/1,1st floor,Vellalar Street,
Opp.Best Hospital,Near Power House Bus Stop,
Kodambakkam,Chennai-600024
Web site:www.shpine.com
Mail id:shpinetechnologies@gmail.com
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Project 2 Data Mining Part 1
- 1. Project II Data Mining a Mushroom Dataset Group 1 Raymond Borges Jarilyn Hernandez
- 2. The Mushroom Dataset Data Set Number of Multivariate 8124 Area: Life Characteristics: Instances: Attribute Number of Date Categorical 22 1987 Characteristics: Attributes: Donated: This data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family. 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.
- 3. Mushroom Dataset 22 Independent attributes 1 Class Attribute (Can you eat it?) Edible(4,208)51.8% Poisonous(3,916)48.2%
- 4. Mushroom Dataset 22 Attributes Total 18 Intrinsically on Mushroom 4 Others 1 Habitat 1 Population 1 Bruises 1 Odor
- 5. Odor attribute, 1R Learner The Simplest Rule 98.52% Acc. A = almond N = none C = creosote P = pungent F = foul S = spicy L = anise Y = fishy M = musty a c f l m n p s y
- 6. J48 Tree 100% E = Edible Classification P = Poisonous E P P E P P P P almond creosote foul anise musty none pungent spicy fishy E E E E P E E E black brown buff chocolate green orange purple white yellow E P E narrow broad close crowded distant E P E E E E abundant clustered numerous scattered several solitary
- 7. Simplest rule-set (Benchmark) These are Poisonous 1. Odor = not almond or anise or none (120 poisonous cases missed, 98.52% accuracy) 2. Spore-print-color =green (48 cases missed, 99.41% accuracy) 3. Odor=none and stalk-surface-below-ring = scaly and stalk-color-above-ring= not brown (8 cases missed, 99.90% accuracy) 4. Habitat= leaves and cap-color=white 4. May also be population=clustered and cap-color=white (100% accuracy)
- 8. Habitat Insights Waste is safe but stay away from paths Woods Grasses Leaves Meadows Paths Urban Waste
- 9. Population Insights Mushrooms travel safer in groups Abundant Clustered Numerous Scattered Several Solitary
- 10. Information Knowledge Population Data %Rates vs. Mushrooms 120.00% 100.00% 80.00% 60.00% 40.00% 20.00% Abundant Clustered Numerous Scattered Several Solitary 0.00% % Poisonous % Edible
- 11. Poisonous/Edible Ratio vs. Mushroom Population Density 300.00% 250.00% several Poisonous/Edible Ratio 200.00% 150.00% 100.00% 50.00% solitary scattered clustered 0.00% numerous abundant 0 1 2 3 4 5 6 7 -50.00% Mushroom Density
- 12. Conclusions If it stinks don’t eat it, 98.52% accuracy Ifit doesn’t stink and it’s spore color is not green then you have a 99.41% chance of survival Odor and spore color may be the best attributes statistically but not in the field
- 13. Future Work Use more easily identified attributes to classify mushrooms to produce a method of easier visual classification Eliminate nonvisual attributes Focus on visual-queue attributes, e.g. habitat, population, cap and stalk Compare the two methods
Editor's Notes
- Pistasvisuales