help me find a prediction of house price
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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Can you post your process? Shout if you need help on how to post the code.
@robin is this process right? the result is rmse though, i want the result in accuracy percents
@robin can you please help?
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
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.
@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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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
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.