SQL Call
SELECT * FROM DecisionTreePredict (
ON iris_attribute_test AS AttributeTable PARTITION BY pid
ON iris_attribute_output AS Model DIMENSION
USING
AttrTableGroupByColumns ('attribute')
AttrTablePIDColumns ('pid')
AttrTableValColumn ('attrvalue')
OutputProb ('true')
Responses ('1','2','3')
) AS dt ORDER BY pid;
Output
pid |
pred_label |
prob_for_label_1 |
prob_for_label_2 |
prob_for_label_3 |
5 |
1 |
0.95348 |
0.02326 |
0.02326 |
10 |
1 |
0.95348 |
0.02326 |
0.02326 |
15 |
1 |
0.95348 |
0.02326 |
0.02326 |
20 |
1 |
0.95348 |
0.02326 |
0.02326 |
25 |
1 |
0.95348 |
0.02326 |
0.02326 |
30 |
1 |
0.95348 |
0.02326 |
0.02326 |
35 |
1 |
0.95348 |
0.02326 |
0.02326 |
40 |
1 |
0.95348 |
0.02326 |
0.02326 |
45 |
1 |
0.95348 |
0.02326 |
0.02326 |
50 |
1 |
0.95348 |
0.02326 |
0.02326 |
55 |
2 |
0.02632 |
0.94736 |
0.02632 |
60 |
2 |
0.02632 |
0.94736 |
0.02632 |
65 |
2 |
0.02632 |
0.94736 |
0.02632 |
70 |
2 |
0.02632 |
0.94736 |
0.02632 |
75 |
2 |
0.02632 |
0.94736 |
0.02632 |
80 |
2 |
0.02632 |
0.94736 |
0.02632 |
85 |
2 |
0.02632 |
0.94736 |
0.02632 |
90 |
2 |
0.02632 |
0.94736 |
0.02632 |
95 |
2 |
0.02632 |
0.94736 |
0.02632 |
100 |
2 |
0.02632 |
0.94736 |
0.02632 |
105 |
3 |
0.06250 |
0.12500 |
0.81250 |
110 |
3 |
0.07692 |
0.07692 |
0.84616 |
115 |
3 |
0.06250 |
0.06250 |
0.87500 |
120 |
3 |
0.14286 |
0.57143 |
0.28571 |
125 |
3 |
0.07692 |
0.07692 |
0.84616 |
130 |
3 |
0.14286 |
0.57143 |
0.28571 |
135 |
3 |
0.14286 |
0.57143 |
0.28571 |
140 |
3 |
0.06250 |
0.12500 |
0.81250 |
145 |
3 |
0.07692 |
0.07692 |
0.84616 |
150 |
3 |
0.25000 |
0.25000 |
0.50000 |