Timeline for RandomForest surprisingly high accuracy
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Jul 9, 2019 at 11:22 | comment | added | AndroidMarshmallow | I just gave to my random forest this text: "AI is amazing and it's going to take over the world.", the forest predicted correctly: positive. When I changed the sentence to "AI is bad", the forest predicted: negative. Interesting lol very smart forest. | |
| Jul 9, 2019 at 11:14 | comment | added | AndroidMarshmallow | Richard, my trained forest saved to file had oob_score set to False, so I retrained from scratch with oob_score as True, then saved to file again, loaded from another script, checked oob_score and it showed 75%, which is the same accuracy value I got when training from the accuracy() method. I've read a bit about oob_score (out of bag score) but your comment makes sense, as the value coincided with the training accuracy. | |
| Jul 8, 2019 at 13:10 | history | undeleted | Benjamin Ricard | ||
| Jul 8, 2019 at 13:10 | history | edited | Benjamin Ricard | CC BY-SA 4.0 |
added 266 characters in body
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| Jul 8, 2019 at 13:04 | history | deleted | Benjamin Ricard | via Vote | |
| Jul 8, 2019 at 13:02 | history | answered | Benjamin Ricard | CC BY-SA 4.0 |