Row 40205

Row ID: 40205 | Dataset Entry | Axioma AXP Content Repository

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No, it means your predicted y is on average 2 off from the actual y. I am not super familiar with XGBoost but I assume there is some way to look into input importance and you should definitely be able to make your predictions on test data and compare them to the actual values on the test data. Given that the average value seems to be around 20, the MAE seems reasonable as you could kind of look at it as a 10% standard error (20+/-2), like I said there is no "acceptable" MAE value (except maybe 0) it all depends on your scale. You should use a variety of metrics to evaluate your model.

FieldValue
text No, it means your predicted y is on average 2 off from the actual y. I am not super familiar with XGBoost but I assume there is some way to look into input importance and you should definitely be able to make your predictions on test data and compare them to the actual values on the test data. Given that the average value seems to be around 20, the MAE seems reasonable as you could kind of look at it as a 10% standard error (20+/-2), like I said there is no "acceptable" MAE value (except maybe 0…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-22
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{
  "text": "No, it means your predicted y is on average 2 off from the actual y. I am not super familiar with XGBoost but I assume there is some way to look into input importance and you should definitely be able to make your predictions on test data and compare them to the actual values on the test data. Given that the average value seems to be around 20, the MAE seems reasonable as you could kind of look at it as a 10% standard error (20+/-2), like I said there is no \"acceptable\" MAE value (except maybe 0) it all depends on your scale. You should use a variety of metrics to evaluate your model.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-22",
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}
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