RS_DME_SC - Meldungen f�r Scoring
The following messages are stored in message class RS_DME_SC: Meldungen f�r Scoring.
It is part of development package RS_DME_SC in software component BW-EI-DM. This development package consists of objects that can be grouped under "Data Mining Engines: Scoring".
It is part of development package RS_DME_SC in software component BW-EI-DM. This development package consists of objects that can be grouped under "Data Mining Engines: Scoring".
Message Nr ▲ | Message Text |
---|---|
000 | Error in scoring function |
001 | Model has not yet been generated |
002 | Scoring model has been trained successfully |
003 | Error in the template: &1, &2, &3, &4 |
004 | Extract &1 does not exist |
005 | There is no extract yet for source &1 |
006 | Error &1 while reading from extract &2 |
007 | Mark a model field as prediction variable |
008 | Scoring model is consistent |
009 | Error &1 occurred when generating the results table |
010 | Unable to generate program &1 |
011 | Model &1 cannot be used for predictions |
012 | Model &1 is not active |
013 | Model &1 is not a scoring model |
014 | Model &1 must contain exactly one prediction field |
015 | Model &1 does not contain a key field |
016 | Value type &1 not defined for scoring models |
017 | No value type is maintained for model field &1 |
018 | Function type &1 is not supported for scoring models |
019 | Enter a valid value for the weighting of model field &1 |
020 | &1 is not a valid number format |
021 | Field number &1 has been assigned twice |
022 | Enter the value ranges for field &1 |
023 | Specify parameter &1 |
024 | Incorrect value &1 for parameter &2 |
025 | No parameter entry required for fields of the type &1 |
026 | No values in master data table for InfoObject &1 |
027 | The prediction field type requires discretization entries |
028 | Enter at least 2 values for field &1 |
029 | Enter at least 1 value for field &1 |
030 | Fields of the type &1 may not be used as prediction fields |
031 | No input help available for model field &1 |
032 | Cancelation due to outliers in model field &1: &2 |
033 | Cancelation due to missing value in model field &1: &2 |
034 | No data exists for the visualization |
035 | No data exists for the visualization for source &1 |
036 | No result possible due to missing data |
037 | Source &1 is empty |
038 | The data for model field &1 is of the wrong type |
039 | Besides the prediction field, another model field must be continuous |
040 | Train the model again, otherwise the prediction is restricted |
041 | The values entered for field &1 have to be different |
042 | Error displaying graph |
100 | &1 &2 &3 &4 |
500 | Error while determining the ABC indicator: &1 &2 &3 &4 |
501 | Select an ABC analysis |
502 | ABC Analysis &1 started |
503 | ABC Analysis &1: Data package received |
504 | ABC Analysis &1 scheduled |
505 | ABC Analysis &1: Data package with &2 records processed |
506 | Threshold values inconsistent: error &1 |
507 | No master data key defined for InfoObject &1 |