Please follow the instruction in Data AnalyticsAI_Machine Learning Project to work on prediction and classification using machine learning algorithms via Orange software. Submit screenshots of all models in a word document and the completed Orange (

Please follow the instruction in Data Analytics–AI_Machine Learning Project to work on prediction and classification using machine learning algorithms via Orange software. Submit screenshots of all models in a word document and the completed Orange (2 files – one for FEV target and one for Smoker target) and excel files (childhood-Respiratory-Disease) (include the regression analysis for FEV as a target variable in a sheet in the same file) as an attachment through Assignment Submission.

ProjectWeek51.zip

Project Week 5 Childhood-Respiratory-Disease.xlsx

Data

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Age	Height	Sex	Smoker	FEV
11	69	Male	Non	2.884
10	64	Male	Non	2.328
9	57	Female	Non	1.708
14	63	Male	Non	3.381
11	58	Female	Non	2.17
11	66.5	Male	Non	3.47
15	70	Male	Non	4.284
8	67.5	Female	Non	1.724
7	54.5	Female	Non	1.72
12	60.5	Female	Non	3.058
10	57	Male	Non	1.811
11	64	Male	Non	2.524
9	53	Male	Non	1.558
9	57	Male	Non	1.895
8	61	Female	Non	2.336
10	61	Female	Non	2.642
6	58	Female	Non	1.919
6	56	Female	Non	1.415
8	58.5	Female	Non	1.987
9	60	Female	Non	1.942
6	53	Female	Non	1.602
8	54	Male	Non	1.735
14	68.5	Male	Non	3.741
13	69.5	Male	Non	4.336
8	58.5	Female	Non	2.193
14	72	Male	Non	4.842
12	71	Male	Non	4.55
8	60.5	Male	Non	2.118
12	63	Female	Non	2.841
10	61.5	Female	Non	3.166
13	63.5	Female	Non	3.816
8	58	Male	Non	2.258
10	62	Male	Non	2.561
7	53	Male	Non	1.932
11	65	Female	Non	3.654
5	50	Male	Non	1.472
6	53	Female	Non	1.878
10	61	Male	Non	2.481
11	63	Female	Non	2.665
15	71	Male	Current	4.506
18	66	Female	Non	2.906
9	59	Male	Non	2.352
9	61.5	Male	Non	2.604
10	66	Male	Non	3.203
5	49	Female	Non	1.4
13	68	Male	Non	3.549
14	66	Female	Current	2.236
11	72	Male	Non	3.222
10	66	Male	Non	3.111
5	52.5	Female	Non	1.256
4	48	Female	Non	0.839
7	62.5	Male	Non	2.578
11	67	Female	Non	3.49
13	64	Female	Non	3.147
10	60.5	Female	Non	2.52
9	65	Female	Non	2.988
10	63	Male	Non	2.292
3	51.5	Male	Non	1.404
12	64	Female	Non	2.889
9	60	Male	Non	2.348
10	60.5	Male	Non	2.246
10	62	Male	Non	1.937
5	52	Male	Non	1.755
8	60	Female	Non	2.98
19	72	Male	Non	5.102
10	60	Male	Non	2.646
11	64.5	Male	Non	2.957
19	66	Female	Current	3.519
11	67	Male	Non	4.007
16	68	Male	Current	3.688
9	60	Female	Non	2.1
5	49	Female	Non	1.282
11	61.5	Female	Non	2.386
17	70	Male	Non	4.429
9	65.5	Male	Non	3
10	66	Male	Non	3.251
8	60	Female	Non	2.673
7	57.5	Female	Non	2.093
5	52	Female	Non	1.612
11	60	Female	Non	2.762
11	64	Female	Non	3.011
8	59	Female	Non	2.175
13	68.5	Male	Non	4.305
13	67	Male	Non	3.906
9	59	Male	Non	2.725
15	67.5	Male	Non	4.279
11	67	Male	Non	3.583
11	66	Female	Non	3.236
8	55	Male	Non	2.071
14	62.5	Male	Non	3.436
11	61	Male	Non	3.058
8	57	Male	Non	1.547
8	57	Male	Non	2.004
9	60	Female	Non	3.135
10	62	Male	Non	3.007
8	59	Male	Non	2.42
10	66.5	Male	Non	3.489
10	60	Female	Non	2.864
5	51	Male	Non	1.776
14	64	Female	Current	3.428
13	62	Female	Non	2.819
8	57	Female	Non	1.931
5	50	Female	Non	1.343
10	58	Female	Non	2.25
9	57	Female	Non	2.076
14	68.5	Male	Non	4.683
7	54	Male	Non	1.624
8	52.5	Female	Non	1.344
10	61.5	Male	Non	2.352
6	55	Male	Non	1.65
11	64.5	Male	Non	3.108
15	70	Male	Non	4.5
13	67	Male	Non	3.994
12	68.5	Male	Non	4.393
13	61	Female	Current	3.208
8	60.5	Male	Non	2.732
5	54.5	Male	Non	2.017
10	65	Male	Non	2.592
13	70	Male	Non	3.193
9	61.5	Female	Non	2.797
11	60	Male	Current	1.694
14	72	Male	Current	3.957
11	59	Female	Non	2.346
13	69	Male	Current	4.789
9	62	Male	Non	3.556
8	54.5	Male	Non	1.703
6	54	Male	Non	1.634
9	57	Male	Non	2.57
11	67.5	Male	Non	3.515
11	65.5	Female	Non	2.754
9	62.5	Female	Non	3.016
7	60	Female	Non	2.419
4	50	Female	Non	1.569
10	65.5	Male	Non	2.72
8	57.5	Female	Non	1.698
8	60	Male	Non	2.123
11	64.5	Male	Non	2.463
8	60	Female	Non	2.481
6	51	Female	Non	1.481
4	49	Female	Non	1.577
11	62	Female	Non	2.633
8	59	Male	Non	1.94
6	57.5	Male	Non	1.747
9	58	Male	Non	2.069
7	55.5	Female	Non	1.631
10	65.5	Female	Non	3.048
11	67.5	Male	Non	3.111
13	68	Female	Non	3.745
5	52	Female	Non	1.536
9	60.5	Female	Non	2.56
8	57	Male	Non	1.962
8	58	Female	Non	2.531
12	63.5	Female	Current	2.384
10	58.5	Male	Non	2.094
15	64	Female	Non	2.635
9	60	Male	Non	2.715
9	59	Male	Non	2.457
10	65.5	Female	Non	3.183
9	59.5	Male	Non	2.09
7	56	Male	Non	1.789
5	53	Male	Non	1.858
14	65	Female	Current	3.074
15	66	Female	Current	2.679
11	70.5	Male	Non	3.977
10	63	Male	Non	3.354
5	51	Male	Non	1.452
9	69	Male	Non	3.842
6	53	Female	Non	1.719
11	63.5	Female	Non	3.411
7	57	Female	Non	2.111
6	53	Female	Non	1.695
8	63	Male	Non	2.211
10	66	Female	Current	2.387
8	54.5	Male	Non	1.794
7	58	Female	Non	1.917
11	63	Female	Non	3.171
13	67.5	Male	Non	3.887
13	61.5	Female	Non	2.646
10	60	Female	Non	2.504
11	64.5	Male	Non	3.587
11	68.5	Male	Non	3.845
12	64.5	Male	Non	2.971
10	61	Female	Non	2.891
8	63	Female	Non	2.144
7	52	Male	Non	1.253
10	57	Female	Non	1.823
11	62.5	Male	Non	2.417
10	58	Female	Non	2.175
11	62.5	Female	Non	2.735
14	72.5	Male	Non	4.273
13	65.5	Male	Non	2.976
9	61.5	Male	Non	2.659
5	52.5	Male	Non	1.58
9	62	Male	Non	2.126
12	69.5	Female	Current	3.835
11	66.5	Male	Non	4.065
11	59	Female	Non	2.318
15	62	Female	Current	2.198
9	61.5	Female	Non	3.029
9	64.5	Male	Non	2.964
7	57.5	Male	Non	1.611
11	68	Male	Non	3.596
19	65.5	Female	Current	3.345
14	67	Female	Non	3.395
12	63	Female	Non	2.751
10	64.5	Female	Non	2.673
8	60	Female	Non	2.215
8	60	Female	Non	2.388
18	64.5	Female	Non	3.082
16	66.5	Female	Non	3.387
12	62	Female	Non	2.556
9	61	Male	Non	2.196
9	58	Male	Non	1.751
11	62	Female	Non	2.542
10	66	Male	Non	2.608
9	61.5	Male	Non	2.165
7	55	Male	Non	1.682
11	62	Female	Non	2.354
8	55	Male	Non	1.523
13	62.5	Female	Current	2.599
10	57	Female	Non	1.458
8	52	Female	Non	1.292
7	54	Male	Non	1.649
9	63	Male	Non	2.588
4	47	Male	Non	0.796
10	68.5	Male	Non	3.795
9	60.5	Female	Non	2.574
6	56	Male	Non	1.979
11	59	Female	Non	2.491
13	61.5	Female	Non	3.06
8	58.5	Male	Non	2.354
10	65	Male	Non	2.545
17	67	Male	Current	3.082
11	66.5	Male	Non	2.993
16	63	Female	Current	2.903
15	64	Female	Current	3.004
10	65	Female	Non	3.305
13	68	Male	Current	4.756
11	67	Female	Non	3.774
10	64.5	Male	Non	2.855
11	70	Male	Non	2.988
6	55	Male	Non	1.718
7	58.5	Female	Non	1.742
7	51	Female	Non	1.603
11	60	Male	Non	2.498
14	64	Female	Non	3.169
8	59.5	Female	Non	2.639
7	54	Female	Non	1.829
11	62.5	Male	Non	2.887
13	61	Female	Non	2.704
11	64	Female	Non	3.515
15	69	Male	Non	5.793
7	58	Male	Non	2.084
7	58	Male	Non	2.22
11	65.5	Male	Non	3.425
10	61	Female	Non	2.287
13	65.4	Female	Non	2.434
10	63.5	Female	Non	2.365
13	67.5	Female	Current	3.086
7	52.5	Female	Non	1.473
10	66	Male	Non	2.696
8	60.5	Female	Non	2.341
7	54.5	Female	Non	1.698
5	46.5	Female	Non	1.196
8	56.5	Female	Non	1.872
7	55	Male	Non	2.219
9	57	Male	Non	2.42
7	54.5	Female	Non	1.827
7	54	Female	Non	1.461
6	53	Male	Non	1.338
8	57	Male	Non	2.09
8	59	Female	Non	1.697
8	55	Male	Non	1.562
9	55.5	Female	Non	2.04
12	62	Female	Non	2.868
10	61.5	Female	Non	2.813
7	51.5	Female	Non	1.609
8	61	Female	Non	2.458
15	71	Male	Non	3.985
14	69	Male	Current	4.309
9	63.5	Male	Non	2.65
12	66	Female	Non	3.255
10	66	Female	Current	3.413
11	69	Male	Non	4.593
18	68	Male	Non	4.22
17	70.5	Male	Non	4.724
8	57.5	Male	Non	1.429
14	71	Male	Non	4.111
12	60.5	Male	Non	1.916
10	58	Male	Non	1.858
8	53	Male	Non	1.675
10	63	Female	Current	2.975
9	56.5	Female	Non	1.947
10	69	Male	Non	3.35
8	54	Male	Non	2.069
10	59.5	Male	Non	2.901
6	52	Male	Non	1.572
12	64	Male	Non	2.241
13	74	Male	Non	4.225
6	53	Male	Non	1.348
8	61.5	Female	Non	2.288
11	64.5	Female	Non	3.223
12	70	Male	Non	5.224
9	58.5	Male	Non	1.773
5	52	Female	Non	0.791
7	58	Male	Non	1.905
11	67	Male	Non	4.073
12	64.5	Male	Non	4.08
9	61	Female	Non	2.463
6	51	Male	Non	1.431
11	65	Female	Non	2.606
15	67	Male	Non	3.731
9	62	Female	Non	2.631
9	64.5	Male	Non	3.114
11	62.5	Female	Current	3.169
17	69	Male	Current	3.406
12	68	Male	Non	4.411
9	58.5	Male	Non	2.135
6	52.5	Male	Non	1.527
12	68.5	Male	Non	3.791
8	58	Female	Non	2.293
9	66	Female	Non	3.042
8	63.5	Male	Non	2.927
13	67.5	Male	Non	3.089
11	60	Male	Non	2.465
12	68	Male	Current	3.343
10	65	Male	Non	3.2
12	64	Male	Non	2.913
8	64	Female	Non	2.665
13	73	Male	Non	4.877
17	62	Female	Non	3.5
16	67.5	Female	Non	3.674
9	58.5	Male	Non	2.301
10	59	Female	Non	2.358
12	70.5	Male	Non	3.279
17	73	Male	Non	5.633
15	64	Female	Current	3.122
10	66	Male	Non	2.581
12	61.5	Female	Non	2.347
9	64	Male	Non	2.46
10	67	Female	Non	2.691
11	62.5	Female	Non	2.827
9	60.5	Female	Non	2.592
7	55	Female	Non	1.75
10	52.5	Male	Non	1.873
8	53	Male	Non	1.759
6	48	Male	Non	1.536
9	58.5	Female	Non	2.259
9	64.5	Female	Non	2.048
12	72	Male	Current	3.751
15	68.5	Female	Current	3.33
14	71	Female	Non	2.538
9	60.5	Male	Non	2.571
7	56	Male	Non	2.046
8	58.5	Female	Non	1.78
5	54	Female	Non	1.552
8	58	Female	Non	1.953
9	64.5	Male	Non	2.893
10	65.5	Male	Non	2.758
10	60	Female	Non	3.05
6	50.5	Male	Non	1.713
9	60	Female	Non	2.851
6	51.5	Male	Non	1.624
8	59	Male	Non	2.631
5	53	Male	Non	1.819
7	53	Male	Non	1.658
12	60	Female	Non	3.079
10	60.5	Male	Non	2.201
16	62	Female	Current	2.608
7	53.5	Male	Non	2.158
4	52	Male	Non	1.789
10	59	Male	Non	1.858
9	64	Female	Non	3.004
13	68	Female	Current	2.216
8	63	Male	Non	2.503
12	62	Female	Non	3.403
12	64.5	Female	Non	3.501
9	58	Female	Non	1.933
11	63	Female	Non	2.578
13	66	Female	Current	3.078
9	58.5	Female	Non	2.091
9	59.5	Female	Non	2.316
5	51	Female	Non	1.704
12	67	Female	Current	3.186
9	57.5	Female	Non	1.606
10	57	Male	Non

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Project Week 5 Childhood-Respiratory-Disease.xlsx

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Please follow the instruction in Data AnalyticsAI_Machine Learning Project to work on prediction and classification using machine learning algorithms via Orange software. Submit screenshots of all models in a word document and the completed Orange (

Project Week 5 Childhood-Respiratory-Disease.xlsx

Data

Who We Are

Do you handle any type of coursework?

Is it hard to Place an Order?

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