help me find a prediction of house price
New Altair Community Member
Updated by Jocelyn
hi, i'm new in rapidminer and a student, i have a project to find a prediction of house price from the data i attach here. can anyone please help me to find the accuracy of the house price? since i tried so hard but always meet with rmse.
it would be great if anyone can help me.
thanks
it would be great if anyone can help me.
thanks
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robin
New Altair Community Member
Can you post your process? Shout if you need help on how to post the code.
New Altair Community Member
OP@robin is this process right? the result is rmse though, i want the result in accuracy percents
New Altair Community Member
Accepted Answer
Hi @tamararidwan,
The accuracy is a performance metric dedicated to classification tasks.
Prediction of house price, like your project, is a regression task (target variable is continuous). So RapidMiner propose RMSE as performance metric.
However if you want a percentage as performance metrics for your regression task, you have to use (inside your Cross Validation operator) the Performance (Regression) operator and check relative error.
Hope this helps,
Regards,
Lionel
The accuracy is a performance metric dedicated to classification tasks.
Prediction of house price, like your project, is a regression task (target variable is continuous). So RapidMiner propose RMSE as performance metric.
However if you want a percentage as performance metrics for your regression task, you have to use (inside your Cross Validation operator) the Performance (Regression) operator and check relative error.
Hope this helps,
Regards,
Lionel
New Altair Community Member
Accepted Answer
Hello @tamararidwan
@lionelderkrikor already gave some great inputs, one thing to add is squared correlation (R squared, Range between 0 to 1 in rapidminer). The model is better if its closer to 1, most of the time above 0.6 is acceptable and it also depends on the problem domain.
@lionelderkrikor already gave some great inputs, one thing to add is squared correlation (R squared, Range between 0 to 1 in rapidminer). The model is better if its closer to 1, most of the time above 0.6 is acceptable and it also depends on the problem domain.
New Altair Community Member
OPUpdated by tamararidwan
@lionelderkrikor @varunm1 hi, i already tried what you said to me, but the result still rmse. can you help me?
thanks.
thanks.
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New Altair Community Member
Accepted Answer
Hi @tamararidwan,
The accuracy is a performance metric dedicated to classification tasks.
Prediction of house price, like your project, is a regression task (target variable is continuous). So RapidMiner propose RMSE as performance metric.
However if you want a percentage as performance metrics for your regression task, you have to use (inside your Cross Validation operator) the Performance (Regression) operator and check relative error.
Hope this helps,
Regards,
Lionel
The accuracy is a performance metric dedicated to classification tasks.
Prediction of house price, like your project, is a regression task (target variable is continuous). So RapidMiner propose RMSE as performance metric.
However if you want a percentage as performance metrics for your regression task, you have to use (inside your Cross Validation operator) the Performance (Regression) operator and check relative error.
Hope this helps,
Regards,
Lionel
New Altair Community Member
Accepted Answer
Hello @tamararidwan
@lionelderkrikor already gave some great inputs, one thing to add is squared correlation (R squared, Range between 0 to 1 in rapidminer). The model is better if its closer to 1, most of the time above 0.6 is acceptable and it also depends on the problem domain.
@lionelderkrikor already gave some great inputs, one thing to add is squared correlation (R squared, Range between 0 to 1 in rapidminer). The model is better if its closer to 1, most of the time above 0.6 is acceptable and it also depends on the problem domain.