Row 9727

Row ID: 9727 | Dataset Entry | Axioma AXP Content Repository

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Hi,

I have been working on a binary predictive model for months. I am trying to optimise the variable selection. I have around 12.

Using lasso, best subset, trees etc is not what I’m looking for. I am trying to loop through all the combinations but it is not only difficult to code, but I also doubt my laptop will be able to handle it if I code it.

Any tips ?

FieldValue
text Hi, I have been working on a binary predictive model for months. I am trying to optimise the variable selection. I have around 12. Using lasso, best subset, trees etc is not what I’m looking for. I am trying to loop through all the combinations but it is not only difficult to code, but I also doubt my laptop will be able to handle it if I code it. Any tips ?
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-20
username_encoded Z0FBQUFBQm5Lakw1VlYtTG81ZVV3THhSeExPT3pZdGtaczgzU1RxWW04bkhobS1wQ2Vxd0g3empwNnpvZWltd0JpYVRoNmZTbHdXZS0tNmlrVEhsaFVRX1N5Q2MwQjRESVE9PQ==
url_encoded Z0FBQUFBQm5Lak9JYW5BLXQ4YnR0RXBGelVxbjROc2dSbWpWaS1RNnBjLVNRdVVxSHNvVVpnSnpOUU5Hb0c2Sm10Ql9SbDg0RmFCaFFVeUl0OC1WamprZ1pObnR0eVU2ZF84RXE1N29jU2ZWTk5JTDU3UkNLY0d2MmlkdTZ1dlJVTzY4d21OT2VrOUxlMVpwRTl4WG1oX1NwdW1xa1RiRFdBc18yZ1Q4OWlQUG55WTNYd1liaUtZUXBPMGNHcHNzMjhpUl8tT0RBRjQzNVJlT0t2OHBISWNrcHdwM1ZGd3BuUT09

Raw Record

{
  "text": "Hi,\n\nI have been working on a binary predictive model for months. \nI am trying to optimise the variable selection. \nI have around 12. \n\nUsing lasso, best subset, trees etc is not what I’m looking for. \nI am trying to loop through all the combinations but it is not only difficult to code, but I also doubt my laptop will be able to handle it if I code it. \n\nAny tips ? ",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-20",
  "username_encoded": "Z0FBQUFBQm5Lakw1VlYtTG81ZVV3THhSeExPT3pZdGtaczgzU1RxWW04bkhobS1wQ2Vxd0g3empwNnpvZWltd0JpYVRoNmZTbHdXZS0tNmlrVEhsaFVRX1N5Q2MwQjRESVE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9JYW5BLXQ4YnR0RXBGelVxbjROc2dSbWpWaS1RNnBjLVNRdVVxSHNvVVpnSnpOUU5Hb0c2Sm10Ql9SbDg0RmFCaFFVeUl0OC1WamprZ1pObnR0eVU2ZF84RXE1N29jU2ZWTk5JTDU3UkNLY0d2MmlkdTZ1dlJVTzY4d21OT2VrOUxlMVpwRTl4WG1oX1NwdW1xa1RiRFdBc18yZ1Q4OWlQUG55WTNYd1liaUtZUXBPMGNHcHNzMjhpUl8tT0RBRjQzNVJlT0t2OHBISWNrcHdwM1ZGd3BuUT09"
}
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