Course Solutions Uncategorized (Solved) : Need Help Creating List Grades Given Integers Range 50 100 Written Java Grades Classified Q32682326 . . . .

(Solved) : Need Help Creating List Grades Given Integers Range 50 100 Written Java Grades Classified Q32682326 . . . .

June 27, 2024June 27, 2024| adminadmin| 0 Comment| 7:59 pm
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i need help with creating a list of grades given as integers inthe range 50 to 100 written in java . For this grades areclassified according to the following grading scale. it needs to beable to test these numbers 81
67
78
90
69
77
75
81
74
67
74
88
76
81
64
73
73
63
74
71
74
74
71
75

and give an outcome that looks like

Total number of grades = 14
Number of A+’s = 1
Number of A’s = 0
Number of A-‘s = 1
Number of B+’s = 3
Number of B’s = 0
Number of B-‘s = 1
Number of C+’s = 1
Number of C’s = 4
Number of C-‘s = 1
Number of D+’s = 1
Number of D’s = 0
Number of D-‘s = 0
Number of

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(Solved) : Iristxt Contains Following Data 51 35 14 02 Iris Setosa 49 30 14 02 Iris Setosa 47 32 13 0 Q34259427 . . . .(Solved) : Iristxt Contains Following Data 51 35 14 02 Iris Setosa 49 30 14 02 Iris Setosa 47 32 13 0 Q34259427 . . . .

<p>iris.txt contains the following data:</p><p>5.1,3.5,1.4,0.2,Iris-setosa<br/>4.9,3.0,1.4,0.2,Iris-setosa<br/>4.7,3.2,1.3,0.2,Iris-setosa<br/>4.6,3.1,1.5,0.2,Iris-setosa<br/>5.0,3.6,1.4,0.2,Iris-setosa<br/>5.4,3.9,1.7,0.4,Iris-setosa<br/>4.6,3.4,1.4,0.3,Iris-setosa<br/>5.0,3.4,1.5,0.2,Iris-setosa<br/>4.4,2.9,1.4,0.2,Iris-setosa<br/>4.9,3.1,1.5,0.1,Iris-setosa<br/>5.4,3.7,1.5,0.2,Iris-setosa<br/>4.8,3.4,1.6,0.2,Iris-setosa<br/>4.8,3.0,1.4,0.1,Iris-setosa<br/>4.3,3.0,1.1,0.1,Iris-setosa<br/>5.8,4.0,1.2,0.2,Iris-setosa<br/>5.7,4.4,1.5,0.4,Iris-setosa<br/>5.4,3.9,1.3,0.4,Iris-setosa<br/>5.1,3.5,1.4,0.3,Iris-setosa<br/>5.7,3.8,1.7,0.3,Iris-setosa<br/>5.1,3.8,1.5,0.3,Iris-setosa<br/>5.4,3.4,1.7,0.2,Iris-setosa<br/>5.1,3.7,1.5,0.4,Iris-setosa<br/>4.6,3.6,1.0,0.2,Iris-setosa<br/>5.1,3.3,1.7,0.5,Iris-setosa<br/>4.8,3.4,1.9,0.2,Iris-setosa<br/>5.0,3.0,1.6,0.2,Iris-setosa<br/>5.0,3.4,1.6,0.4,Iris-setosa<br/>5.2,3.5,1.5,0.2,Iris-setosa<br/>5.2,3.4,1.4,0.2,Iris-setosa<br/>4.7,3.2,1.6,0.2,Iris-setosa<br/>4.8,3.1,1.6,0.2,Iris-setosa<br/>5.4,3.4,1.5,0.4,Iris-setosa<br/>5.2,4.1,1.5,0.1,Iris-setosa<br/>5.5,4.2,1.4,0.2,Iris-setosa<br/>4.9,3.1,1.5,0.1,Iris-setosa<br/>5.0,3.2,1.2,0.2,Iris-setosa<br/>5.5,3.5,1.3,0.2,Iris-setosa<br/>4.9,3.1,1.5,0.1,Iris-setosa<br/>4.4,3.0,1.3,0.2,Iris-setosa<br/>5.1,3.4,1.5,0.2,Iris-setosa<br/>5.0,3.5,1.3,0.3,Iris-setosa<br/>4.5,2.3,1.3,0.3,Iris-setosa<br/>4.4,3.2,1.3,0.2,Iris-setosa<br/>5.0,3.5,1.6,0.6,Iris-setosa<br/>5.1,3.8,1.9,0.4,Iris-setosa<br/>4.8,3.0,1.4,0.3,Iris-setosa<br/>5.1,3.8,1.6,0.2,Iris-setosa<br/>4.6,3.2,1.4,0.2,Iris-setosa<br/>5.3,3.7,1.5,0.2,Iris-setosa<br/>5.0,3.3,1.4,0.2,Iris-setosa<br/>7.0,3.2,4.7,1.4,Iris-versicolor<br/>6.4,3.2,4.5,1.5,Iris-versicolor<br/>6.9,3.1,4.9,1.5,Iris-versicolor<br/>5.5,2.3,4.0,1.3,Iris-versicolor<br/>6.5,2.8,4.6,1.5,Iris-versicolor<br/>5.7,2.8,4.5,1.3,Iris-versicolor<br/>6.3,3.3,4.7,1.6,Iris-versicolor<br/>4.9,2.4,3.3,1.0,Iris-versicolor<br/>6.6,2.9,4.6,1.3,Iris-versicolor<br/>5.2,2.7,3.9,1.4,Iris-versicolor<br/>5.0,2.0,3.5,1.0,Iris-versicolor<br/>5.9,3.0,4.2,1.5,Iris-versicolor<br/>6.0,2.2,4.0,1.0,Iris-versicolor<br/>6.1,2.9,4.7,1.4,Iris-versicolor<br/>5.6,2.9,3.6,1.3,Iris-versicolor<br/>6.7,3.1,4.4,1.4,Iris-versicolor<br/>5.6,3.0,4.5,1.5,Iris-versicolor<br/>5.8,2.7,4.1,1.0,Iris-versicolor<br/>6.2,2.2,4.5,1.5,Iris-versicolor<br/>5.6,2.5,3.9,1.1,Iris-versicolor<br/>5.9,3.2,4.8,1.8,Iris-versicolor<br/>6.1,2.8,4.0,1.3,Iris-versicolor<br/>6.3,2.5,4.9,1.5,Iris-versicolor<br/>6.1,2.8,4.7,1.2,Iris-versicolor<br/>6.4,2.9,4.3,1.3,Iris-versicolor<br/>6.6,3.0,4.4,1.4,Iris-versicolor<br/>6.8,2.8,4.8,1.4,Iris-versicolor<br/>6.7,3.0,5.0,1.7,Iris-versicolor<br/>6.0,2.9,4.5,1.5,Iris-versicolor<br/>5.7,2.6,3.5,1.0,Iris-versicolor<br/>5.5,2.4,3.8,1.1,Iris-versicolor<br/>5.5,2.4,3.7,1.0,Iris-versicolor<br/>5.8,2.7,3.9,1.2,Iris-versicolor<br/>6.0,2.7,5.1,1.6,Iris-versicolor<br/>5.4,3.0,4.5,1.5,Iris-versicolor<br/>6.0,3.4,4.5,1.6,Iris-versicolor<br/>6.7,3.1,4.7,1.5,Iris-versicolor<br/>6.3,2.3,4.4,1.3,Iris-versicolor<br/>5.6,3.0,4.1,1.3,Iris-versicolor<br/>5.5,2.5,4.0,1.3,Iris-versicolor<br/>5.5,2.6,4.4,1.2,Iris-versicolor<br/>6.1,3.0,4.6,1.4,Iris-versicolor<br/>5.8,2.6,4.0,1.2,Iris-versicolor<br/>5.0,2.3,3.3,1.0,Iris-versicolor<br/>5.6,2.7,4.2,1.3,Iris-versicolor<br/>5.7,3.0,4.2,1.2,Iris-versicolor<br/>5.7,2.9,4.2,1.3,Iris-versicolor<br/>6.2,2.9,4.3,1.3,Iris-versicolor<br/>5.1,2.5,3.0,1.1,Iris-versicolor<br/>5.7,2.8,4.1,1.3,Iris-versicolor<br/>6.3,3.3,6.0,2.5,Iris-virginica<br/>5.8,2.7,5.1,1.9,Iris-virginica<br/>7.1,3.0,5.9,2.1,Iris-virginica<br/>6.3,2.9,5.6,1.8,Iris-virginica<br/>6.5,3.0,5.8,2.2,Iris-virginica<br/>7.6,3.0,6.6,2.1,Iris-virginica<br/>4.9,2.5,4.5,1.7,Iris-virginica<br/>7.3,2.9,6.3,1.8,Iris-virginica<br/>6.7,2.5,5.8,1.8,Iris-virginica<br/>7.2,3.6,6.1,2.5,Iris-virginica<br/>6.5,3.2,5.1,2.0,Iris-virginica<br/>6.4,2.7,5.3,1.9,Iris-virginica<br/>6.8,3.0,5.5,2.1,Iris-virginica<br/>5.7,2.5,5.0,2.0,Iris-virginica<br/>5.8,2.8,5.1,2.4,Iris-virginica<br/>6.4,3.2,5.3,2.3,Iris-virginica<br/>6.5,3.0,5.5,1.8,Iris-virginica<br/>7.7,3.8,6.7,2.2,Iris-virginica<br/>7.7,2.6,6.9,2.3,Iris-virginica<br/>6.0,2.2,5.0,1.5,Iris-virginica<br/>6.9,3.2,5.7,2.3,Iris-virginica<br/>5.6,2.8,4.9,2.0,Iris-virginica<br/>7.7,2.8,6.7,2.0,Iris-virginica<br/>6.3,2.7,4.9,1.8,Iris-virginica<br/>6.7,3.3,5.7,2.1,Iris-virginica<br/>7.2,3.2,6.0,1.8,Iris-virginica<br/>6.2,2.8,4.8,1.8,Iris-virginica<br/>6.1,3.0,4.9,1.8,Iris-virginica<br/>6.4,2.8,5.6,2.1,Iris-virginica<br/>7.2,3.0,5.8,1.6,Iris-virginica<br/>7.4,2.8,6.1,1.9,Iris-virginica<br/>7.9,3.8,6.4,2.0,Iris-virginica<br/>6.4,2.8,5.6,2.2,Iris-virginica<br/>6.3,2.8,5.1,1.5,Iris-virginica<br/>6.1,2.6,5.6,1.4,Iris-virginica<br/>7.7,3.0,6.1,2.3,Iris-virginica<br/>6.3,3.4,5.6,2.4,Iris-virginica<br/>6.4,3.1,5.5,1.8,Iris-virginica<br/>6.0,3.0,4.8,1.8,Iris-virginica<br/>6.9,3.1,5.4,2.1,Iris-virginica<br/>6.7,3.1,5.6,2.4,Iris-virginica<br/>6.9,3.1,5.1,2.3,Iris-virginica<br/>5.8,2.7,5.1,1.9,Iris-virginica<br/>6.8,3.2,5.9,2.3,Iris-virginica<br/>6.7,3.3,5.7,2.5,Iris-virginica<br/>6.7,3.0,5.2,2.3,Iris-virginica<br/>6.3,2.5,5.0,1.9,Iris-virginica<br/>6.5,3.0,5.2,2.0,Iris-virginica<br/>6.2,3.4,5.4,2.3,Iris-virginica<br/>5.9,3.0,5.1,1.8,Iris-virginica</p><p>===========================================</p><p>import numpy as np<br/>import pandas as pd<br/>import matplotlib.pyplot as plt</p><p>import seaborn as sns<br/>iris = pd.read_csv("iris.txt",header=None)<br/>Y = iris.iloc[:,-1].values<br/>X = iris.iloc[:,0:-1]</p><p>=================================================</p><p><img alt="Problem 4: Apply a k-Nearest Neighbors classifier

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