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Hello!
We want to see how well we predicted boat purchases compared to actual purchases.
As long as the "Actual Boat Purchased" Column contains what is in the "Boat we predicted a customer would buy" column, it should count as a match (it should not be an exact match, just a contains).
In the example below, we would have a success prediction rate of 2 out of 7 (28%) because the "Actual Boat Purchased" column contains "Bassmaster 8" 2 times (which is what we purchased).
How could I create a measure that tells us the "Success Prediction Rate"
Solved! Go to Solution.
Hi @Anonymous ,
For your requirement, we could create a calculated column and a measure to achieve that.
tag = IF ( FIND ( 'Sales'[Boat we predicted a customer would buy], 'Sales'[Actual Boat Purchased], 1, 0 ), 1, 0 ) measure = VAR a = CALCULATE ( COUNT ( 'Sales'[tag] ), FILTER ( ALLSELECTED ( 'Sales' ), 'Sales'[tag] = 1 ) ) VAR b = CALCULATE ( COUNTROWS ( 'Sales' ), ALLSELECTED ( 'Sales'[Boat we predicted a customer would buy] ) ) RETURN DIVIDE ( a, b )
Here is the output.
Best Regards,
Cherry
Hi @Anonymous ,
For your requirement, we could create a calculated column and a measure to achieve that.
tag = IF ( FIND ( 'Sales'[Boat we predicted a customer would buy], 'Sales'[Actual Boat Purchased], 1, 0 ), 1, 0 ) measure = VAR a = CALCULATE ( COUNT ( 'Sales'[tag] ), FILTER ( ALLSELECTED ( 'Sales' ), 'Sales'[tag] = 1 ) ) VAR b = CALCULATE ( COUNTROWS ( 'Sales' ), ALLSELECTED ( 'Sales'[Boat we predicted a customer would buy] ) ) RETURN DIVIDE ( a, b )
Here is the output.
Best Regards,
Cherry
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