The Iris Data Set is perhaps the best known database. The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. Get the data set from: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data You can use any text editor to open it.
The Iris Data Set is perhaps the best known database. The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. Get the data set from: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data You can use any text editor to open it.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
![The Iris Data Set is perhaps the best known database. The data set contains 3 classes of
50 instances each, where each class refers to a type of iris plant.
Get the data set from: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data
You can use any text editor to open it.
Attribute Information:
1. sepal length in cm
2. sepal width in cm
3. petal length in cm
4. petal width in cm
5. class:
-Iris Setosa
-Iris Versicolour
Iris Virginica
Write a program that reads the input file. (Hint: getline) And Print the summary statistics as follows:
Summary Statistics
Min
Маx
| Sepal length | 4.3 (Setosa)
| 7.9 (Virginica) |
| Sepal width | 2.0 (Versicolor)
4.4 (Setosa)
| Petal length | 1.0 (Setosa)
| 6.9 (Virginica) |
Petal width | 0.1 (Setosa)
| 2.5 (Virginica) |](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F12dd5a44-3d0a-466b-a8f5-5c10b5667b82%2F416e3baa-1a3d-4d88-a51b-eb242c4cb0c7%2Fygmigin_processed.png&w=3840&q=75)
Transcribed Image Text:The Iris Data Set is perhaps the best known database. The data set contains 3 classes of
50 instances each, where each class refers to a type of iris plant.
Get the data set from: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data
You can use any text editor to open it.
Attribute Information:
1. sepal length in cm
2. sepal width in cm
3. petal length in cm
4. petal width in cm
5. class:
-Iris Setosa
-Iris Versicolour
Iris Virginica
Write a program that reads the input file. (Hint: getline) And Print the summary statistics as follows:
Summary Statistics
Min
Маx
| Sepal length | 4.3 (Setosa)
| 7.9 (Virginica) |
| Sepal width | 2.0 (Versicolor)
4.4 (Setosa)
| Petal length | 1.0 (Setosa)
| 6.9 (Virginica) |
Petal width | 0.1 (Setosa)
| 2.5 (Virginica) |
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