The Practical Importance of Feature Selection

The Practical Importance of Feature Selection  #MachineLearning

  • Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.
  • Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing model generalizability.
  • Many times a correct feature selection allows you to develop simpler and faster Machine Learning models.
  • In a time when ample processing power can tempt us to think that feature selection may not be as relevant as it once was, it’s important to remember that this only accounts for one of the numerous benefits of informed feature selection — decreased training times.
  • As Zimbres notes above, with a simple concrete example, feature selection can quite literally mean the difference between valid, generalizable models and a big waste of time.


Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.

Continue reading “The Practical Importance of Feature Selection”

The Practical Importance of Feature Selection

The Practical Importance of Feature Selection #MachineLearning

  • Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.
  • Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing model generalizability.
  • Many times a correct feature selection allows you to develop simpler and faster Machine Learning models.
  • In a time when ample processing power can tempt us to think that feature selection may not be as relevant as it once was, it’s important to remember that this only accounts for one of the numerous benefits of informed feature selection — decreased training times.
  • As Zimbres notes above, with a simple concrete example, feature selection can quite literally mean the difference between valid, generalizable models and a big waste of time.


Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.

Continue reading “The Practical Importance of Feature Selection”

The Practical Importance of Feature Selection

#ICYMI The Practical Importance of Feature Selection  #MachineLearning

  • Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.
  • Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing model generalizability.
  • Many times a correct feature selection allows you to develop simpler and faster Machine Learning models.
  • In a time when ample processing power can tempt us to think that feature selection may not be as relevant as it once was, it’s important to remember that this only accounts for one of the numerous benefits of informed feature selection — decreased training times.
  • As Zimbres notes above, with a simple concrete example, feature selection can quite literally mean the difference between valid, generalizable models and a big waste of time.


Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.

Continue reading “The Practical Importance of Feature Selection”

The Practical Importance of Feature Selection

The Practical Importance of Feature Selection #MachineLearning

  • Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.
  • Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing model generalizability.
  • Many times a correct feature selection allows you to develop simpler and faster Machine Learning models.
  • In a time when ample processing power can tempt us to think that feature selection may not be as relevant as it once was, it’s important to remember that this only accounts for one of the numerous benefits of informed feature selection — decreased training times.
  • As Zimbres notes above, with a simple concrete example, feature selection can quite literally mean the difference between valid, generalizable models and a big waste of time.


Feature selection is useful on a variety of fronts: it is the best weapon against the Curse of Dimensionality; it can reduce overall training times; and it is a powerful defense against overfitting, increasing generalizability.

Continue reading “The Practical Importance of Feature Selection”