Question
In this problem the Iris data set will be used. The Iris Plants Database contains 3 classes of 50 instances each, where each class refers
In this problem the Iris data set will be used. The Iris Plants Database contains 3 classes of 50 instances each, where each class refers to a type of Iris plant. Four attributes/features (in centimeters) were collected for each plant instance. A fifth attribute is provided which is the class label of the plant type.
(b) Develop a stack where the observations are stacked starting with the first observation using the sepal length feature. For example observation 1 with a value of 5.1 will be at the bottom of the stack. The choice is up to the developer, at a minimum use the first 10 observation. Show the pseudocode or code of your implementation (please use JAVA language) . Provide the running time of your code from reading in the data, storing the keys and linking the feature data.
For code please use JAVA language
sepal_length | sepal_width | petal_length | petal_width | species |
5.1 | 3.5 | 1.4 | 0.2 | setosa |
4.9 | 3 | 1.4 | 0.2 | setosa |
4.7 | 3.2 | 1.3 | 0.2 | setosa |
4.6 | 3.1 | 1.5 | 0.2 | setosa |
5 | 3.6 | 1.4 | 0.2 | setosa |
5.4 | 3.9 | 1.7 | 0.4 | setosa |
4.6 | 3.4 | 1.4 | 0.3 | setosa |
5 | 3.4 | 1.5 | 0.2 | setosa |
4.4 | 2.9 | 1.4 | 0.2 | setosa |
4.9 | 3.1 | 1.5 | 0.1 | setosa |
5.4 | 3.7 | 1.5 | 0.2 | setosa |
4.8 | 3.4 | 1.6 | 0.2 | setosa |
4.8 | 3 | 1.4 | 0.1 | setosa |
4.3 | 3 | 1.1 | 0.1 | setosa |
5.8 | 4 | 1.2 | 0.2 | setosa |
5.7 | 4.4 | 1.5 | 0.4 | setosa |
5.4 | 3.9 | 1.3 | 0.4 | setosa |
5.1 | 3.5 | 1.4 | 0.3 | setosa |
5.7 | 3.8 | 1.7 | 0.3 | setosa |
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