Input - Aster Analytics

Teradata AsterĀ® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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uce1497542673292.ditamap
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B700-1022
lifecycle
previous
Product Category
Software

The input table, iris_category_expect_predict, contains 30 rows of expected and predicted values for different species of the flower iris. The predicted values can be derived from any of the classification functions, such as SparseSVMPredict. The raw iris data set has four prediction attributes - sepal_length, sepal_width, petal_length, petal_width grouped into 3 species - setosa, versicolor, virginica.

ConfusionMatrix Example Input Table iris_category_expect_predict
id expected_value predicted_value
5 setosa setosa
10 setosa setosa
15 setosa setosa
20 setosa setosa
25 setosa setosa
30 setosa setosa
35 setosa setosa
40 setosa setosa
45 setosa setosa
50 setosa setosa
55 versicolor versicolor
60 versicolor versicolor
65 versicolor versicolor
70 versicolor versicolor
75 versicolor versicolor
80 versicolor versicolor
85 virginica versicolor
90 versicolor versicolor
95 versicolor versicolor
100 versicolor versicolor
105 virginica virginica
110 virginica virginica
115 virginica virginica
120 versicolor virginica
125 virginica virginica
130 versicolor virginica
135 versicolor virginica
140 virginica virginica
145 virginica virginica
150 virginica virginica