RANDOM_FOREST
Calculate Forecast Values using Random Forest model
Dataset dependencies extracted from SQL body
Used by 2 operations
| DTP | Activity | Operation | Parameter values | Order |
|---|---|---|---|---|
000001
Calculations & Data Validation
|
040 |
020Predicting WINLOS |
P02
→ lstyr_activities_cat,ly_purchase_nr_cat,inactivity_cat,ly_purchase_value_cat,weighted_value_cat,aging_cat,tot_activities_cat,lstmnt_activities_cat,lstqrt_activities_cat,product,type,prospect_size,winlos
P03
→ winlos
P04
→ VARCHAR(1)
|
1 |
000001
Calculations & Data Validation
|
040 |
030Predicting AGING |
P02
→ lstyr_activities_cat,ly_purchase_nr_cat,inactivity_cat,ly_purchase_value_cat,weighted_value_cat,aging_cat,tot_activities_cat,lstmnt_activities_cat,lstqrt_activities_cat,product,type,prospect_size,winlos
P03
→ aging_cat
P04
→ INTEGER
|
2 |
Parameters 4
| Code | Description | Type |
|---|---|---|
P03 |
Field to predict | S |
P02 |
Fields List for Random Forest Model | S |
P01 |
Training Dataset | T |
P04 |
Type of Field to Predict | S |
PostgreSQL script
PostgreSQL
Sources: ows_metodo_speciale
Script anatomy — approximate, parsed from the SQL text
Sources
R_RandomForestresult
Outputs
id · value