Output - 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
dita:mapPath
uce1497542673292.ditamap
dita:ditavalPath
AA-notempfilter_pdf_output.ditaval
dita:id
B700-1022
lifecycle
previous
Product Category
Software
Forest_Drive Example 1 Output Summary Table
message

Computing 50 classification trees.

Each worker is computing 25 trees.

Each tree will contain approximately 246 points.

Poisson sampling parameter: 1.00

Query finished in 8.962 seconds.

Decision forest created in table "rft_model".

The following query returns the output shown in the following table:

SELECT task_index, tree_num, CAST (tree AS VARCHAR(50))
  FROM rft_model ORDER BY 1;
Forest_Drive Example 1 Output Model Table rft_model
task_index tree_num CAST (tree AS VARCHAR(50))
0 0 {"responseCounts_":{"Eclectic":148,"bungalow":30,"
0 1 {"responseCounts_":{"Eclectic":158,"bungalow":26,"
0 2 {"responseCounts_":{"Eclectic":120,"bungalow":38,"
0 3 {"responseCounts_":{"Eclectic":166,"bungalow":29,"
0 4 {"responseCounts_":{"Eclectic":138,"bungalow":32,"
0 5 {"responseCounts_":{"Eclectic":158,"bungalow":34,"
0 6 {"responseCounts_":{"Eclectic":168,"bungalow":32,"
0 7 {"responseCounts_":{"Eclectic":145,"bungalow":40,"
0 8 {"responseCounts_":{"Eclectic":150,"bungalow":34,"
0 9 {"responseCounts_":{"Eclectic":156,"bungalow":42,"
0 10 {"responseCounts_":{"Eclectic":148,"bungalow":18,"
0 11 {"responseCounts_":{"Eclectic":147,"bungalow":20,"
0 12 {"responseCounts_":{"Eclectic":150,"bungalow":31,"
0 13 {"responseCounts_":{"Eclectic":135,"bungalow":32,"
0 14 {"responseCounts_":{"Eclectic":139,"bungalow":24,"
0 15 {"responseCounts_":{"Eclectic":146,"bungalow":27,"
0 16 {"responseCounts_":{"Eclectic":152,"bungalow":23,"
0 17 {"responseCounts_":{"Eclectic":135,"bungalow":23,"
0 18 {"responseCounts_":{"Eclectic":148,"bungalow":29,"
0 19 {"responseCounts_":{"Eclectic":166,"bungalow":33,"
0 20 {"responseCounts_":{"Eclectic":142,"bungalow":28,"
0 21 {"responseCounts_":{"Eclectic":172,"bungalow":27,"
0 22 {"responseCounts_":{"Eclectic":147,"bungalow":37,"
0 23 {"responseCounts_":{"Eclectic":158,"bungalow":31,"
0 24 {"responseCounts_":{"Eclectic":158,"bungalow":33,"
1 0 {"responseCounts_":{"Eclectic":140,"bungalow":44,"
1 1 {"responseCounts_":{"Eclectic":161,"bungalow":28,"
1 2 {"responseCounts_":{"Eclectic":131,"bungalow":25,"
1 3 {"responseCounts_":{"Eclectic":167,"bungalow":28,"
1 4 {"responseCounts_":{"Eclectic":150,"bungalow":19,"
1 5 {"responseCounts_":{"Eclectic":158,"bungalow":24,"
1 6 {"responseCounts_":{"Eclectic":177,"bungalow":32,"
1 7 {"responseCounts_":{"Eclectic":156,"bungalow":24,"
1 8 {"responseCounts_":{"Eclectic":156,"bungalow":37,"
1 9 {"responseCounts_":{"Eclectic":165,"bungalow":24,"
1 10 {"responseCounts_":{"Eclectic":135,"bungalow":29,"
1 11 {"responseCounts_":{"Eclectic":140,"bungalow":20,"
1 12 {"responseCounts_":{"Eclectic":156,"bungalow":24,"
1 13 {"responseCounts_":{"Eclectic":147,"bungalow":34,"
1 14 {"responseCounts_":{"Eclectic":151,"bungalow":22,"
1 15 {"responseCounts_":{"Eclectic":161,"bungalow":18,"
1 16 {"responseCounts_":{"Eclectic":156,"bungalow":19,"
1 17 {"responseCounts_":{"Eclectic":126,"bungalow":29,"
1 18 {"responseCounts_":{"Eclectic":148,"bungalow":26,"
1 19 {"responseCounts_":{"Eclectic":177,"bungalow":21,"
1 20 {"responseCounts_":{"Eclectic":137,"bungalow":31,"
1 21 {"responseCounts_":{"Eclectic":171,"bungalow":28,"
1 22 {"responseCounts_":{"Eclectic":146,"bungalow":30,"
1 23 {"responseCounts_":{"Eclectic":149,"bungalow":21,"
1 24 {"responseCounts_":{"Eclectic":158,"bungalow":18,"