7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

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

The input table, breast_cancer_data, is assessment data from biopsies of 699 breast tumors. Each tumor is rated on 9 predictor variables, and is classified as either benign (class = 2) or malignant (class = 4). The nine attributes (clumpthickness, uniformityofcellsize, uniformityofcellshape, marginaladhesion, singleepithelialcell, barenuclei, blandchromatin, normalnucleoli, mitoses) are scored on a scale of 1 to 10.

NeuralNet Example Input Table breast_cancer_data (Columns 1-5)
samplecode clumpthickness uniformityofcellsize uniformityofcellshape marginaladhesion
61634 5 4 3 1
63375 9 1 2 6
76389 10 4 7 2
95719 6 10 10 10
128059 1 1 1 1
142932 7 6 10 5
144888 8 10 10 8
145447 8 4 4 1
160296 5 8 8 10
167528 4 1 1 1
169356 3 1 1 1
183913 1 2 2 1
... ... ... ... ...
NeuralNet Example Input Table breast_cancer_data (Columns 6-11)
singleepithelialcell barenuclei blandchromatin normalnucleoli mitoses class
2   2 3 1 2
4 10 7 7 2 4
2 8 6 1 1 4
8 10 7 10 7 4
2 5 5 1 1 2
3 10 9 10 2 4
5 10 7 8 1 4
2 9 3 3 1 4
5 10 8 10 3 4
2 1 3 6 1 2
2   3 1 1 2
2 1 1 1 1 2
... ... ... ... ... ...