Timeline for Classification or regression problem?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Jul 18, 2020 at 14:04 | comment | added | TOMAS | Im not trying to predict height, Im trying to predict winners and losers based on the on the features from winners and losers. Because I have numeric features I think its gonna be regression. But I don't know which approach to take. Im new on ML. Do I have to subdivide the dataset with the winner features and loser features ? Maybe use seleKbest to select the best features. Also I want to make Exploratory Data Analysis first. | |
| Jul 18, 2020 at 8:25 | comment | added | Sandeep Bhutani | In addition to Brian answer, if you want to predict the height of person then it is a regression problem. However, I wonder if there is a correlation between height and winnder or loser! | |
| Jul 17, 2020 at 21:34 | comment | added | TOMAS |
Im trying to choose what type of algorithm apply whether is regression or classification. Both are populated. e.i winner_height = 1.80 and loser_height = 1.74
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| Jul 17, 2020 at 21:14 | answer | added | Brian Spiering | timeline score: 1 | |
| Jul 17, 2020 at 19:00 | comment | added | Sandeep Bhutani | 1. what are you planning to do with this data? 2. when winner columns are populated then loser columns are null or they are also populated for that row? | |
| Jul 17, 2020 at 17:58 | history | asked | TOMAS | CC BY-SA 4.0 |