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.
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 |