7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)

The input table, admissions_train, has one numerical predictor (gpa) and three categorical predictors (masters, stats, programming) that together determine the binary outcome of whether a student is admitted (1) or not (0).

Cross-Validation Example Input Table admissions_train
id masters gpa stats programming admitted
1 yes 3.95 Beginner Beginner 0
2 yes 3.76 Beginner Beginner 0
3 no 3.7 Novice Beginner 1
4 yes 3.5 Beginner Novice 1
5 no 3.44 Novice Novice 0
6 yes 3.5 Beginner Advanced 1
7 yes 2.33 Novice Novice 1
8 no 3.6 Beginner Advanced 1
9 no 3.82 Advanced Advanced 1
10 no 3.71 Advanced Advanced 1
11 no 3.13 Advanced Advanced 1
12 no 3.65 Novice Novice 1
13 no 4 Advanced Novice 1
14 yes 3.45 Advanced Advanced 0
15 yes 4 Advanced Advanced 1
16 no 3.7 Advanced Advanced 1
17 no 3.83 Advanced Advanced 1
18 yes 3.81 Advanced Advanced 1
19 yes 1.98 Advanced Advanced 0
20 yes 3.9 Advanced Advanced 1
21 no 3.87 Novice Beginner 1
22 yes 3.46 Novice Beginner 0
23 yes 3.59 Advanced Novice 1
24 no 1.87 Advanced Novice 1
25 no 3.96 Advanced Advanced 1
26 yes 3.57 Advanced Advanced 1
27 yes 3.96 Advanced Advanced 0
28 no 3.93 Advanced Advanced 1
29 yes 4 Novice Beginner 0
30 yes 3.79 Advanced Novice 0
31 yes 3.5 Advanced Beginner 1
32 yes 3.46 Advanced Beginner 0
33 no 3.55 Novice Novice 1
34 yes 3.85 Advanced Beginner 0
35 no 3.68 Novice Beginner 1
36 no 3 Advanced Novice 0
37 no 3.52 Novice Novice 1
38 yes 2.65 Advanced Beginner 1
39 yes 3.75 Advanced Beginner 0
40 yes 3.95 Novice Beginner 0