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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"
Here we see that we predicted 2 out of 7 correctly
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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