Timeline for Classifier or regression for binary system?
Current License: CC BY-SA 3.0
15 events
when toggle format | what | by | license | comment | |
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Dec 5, 2013 at 16:00 | vote | accept | user35581 | ||
Dec 4, 2013 at 23:41 | answer | added | user4673 | timeline score: 0 | |
Dec 4, 2013 at 23:18 | answer | added | JEquihua | timeline score: 1 | |
Dec 4, 2013 at 23:10 | vote | accept | user35581 | ||
Dec 5, 2013 at 16:00 | |||||
Dec 4, 2013 at 21:15 | comment | added | Vojta Rylko | Can you provide a data sample and settings/script of the experiment? | |
Dec 4, 2013 at 16:58 | comment | added | user35581 | Also, the probability of a hit should never really exceed ~0.3, which would still be a probable miss, but that's ok. | |
Dec 4, 2013 at 16:51 | comment | added | user35581 | ~1000 datapoints, and ~100 1s. Maybe I wasn't understanding your definition of unbalanced, but if you're saying that there are far more 0s than 1s, then yes, there are, but there is still enough data for a random forest classifier model. The data set is unbalanced by design, as the results will be unbalanced. | |
Dec 4, 2013 at 16:04 | comment | added | JEquihua | I concur with @Vojtech R. this is probably due to an imbalanced target variable (e.g. 10% 1's and 90% 0's) How many cases do you have of each (1's and 0's)? Another thing that could be happening is that your independent variables don't explain your target very well. | |
Dec 4, 2013 at 13:42 | answer | added | Marc Claesen | timeline score: 1 | |
Dec 4, 2013 at 13:40 | comment | added | user35581 | The training set is balanced. The problem is that the hit rate is so infrequent that a classifier would always predict a miss if forced to make a binary decision. If your random-forest classifier can also output probabilities in the prediction, it's much more meaningful. | |
Dec 4, 2013 at 13:37 | answer | added | user35581 | timeline score: 0 | |
Dec 3, 2013 at 22:31 | history | edited | user88 | CC BY-SA 3.0 |
edited body; edited title
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Dec 3, 2013 at 20:53 | comment | added | Vojta Rylko | It sounds like you have unbalanced traning data set. Can you provide frequency of the miss and hit classes in training data? | |
Dec 3, 2013 at 20:31 | review | First posts | |||
Dec 3, 2013 at 20:33 | |||||
Dec 3, 2013 at 20:13 | history | asked | user35581 | CC BY-SA 3.0 |