Row 30033

Row ID: 30033 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 30033 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Sounds like you’ll have tabular data so consider try ing XGBoost. Might need to do some feature engineering depending on the details of your data.

Also think carefully about how you’re separating into train, test, and validation splits. For instance, an obvious question is does your model generalize to unseen teams and different years? This sounds like the kind of problem it would be very easy to overfit on if you’re not careful.

Also as a bachelors thesis your focus should be on performing a careful analysis, applying good principles, and understanding the abilities and limitations of your approach. The actual model performance is much less important.

As far as extra variables one really obvious one is home team vs away team.

FieldValue
text Sounds like you’ll have tabular data so consider try ing XGBoost. Might need to do some feature engineering depending on the details of your data. Also think carefully about how you’re separating into train, test, and validation splits. For instance, an obvious question is does your model generalize to unseen teams and different years? This sounds like the kind of problem it would be very easy to overfit on if you’re not careful. Also as a bachelors thesis your focus should be on performing …
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-21
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Raw Record

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  "text": "Sounds like you’ll have tabular data so consider try ing XGBoost. Might need to do some feature engineering depending on the details of your data. \n\nAlso think carefully about how you’re separating into train, test, and validation splits. For instance, an obvious question is does your model generalize to unseen teams and different years? This sounds like the kind of problem it would be very easy to overfit on if you’re not careful. \n\nAlso as a bachelors thesis your focus should be on performing a careful analysis, applying good principles, and understanding the abilities and limitations of your approach. The actual model performance is much less important. \n\nAs far as extra variables one really obvious one is home team vs away team.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
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