Timeline for Is it normal for some classifiers to change their prediction performance from fixed amount of data each time I run them to train?
Current License: CC BY-SA 3.0
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Apr 16, 2017 at 23:55 | comment | added | MentatOfDune | @user122358: The overall data may be the same, but the splitting into training and test set are probably being split randomly. Thus, you'd be using different cases to train and test each time. | |
Apr 15, 2017 at 12:59 | comment | added | user122358 | I have a fixed amount of data. Each time I train the classifiers, dataset is divided into training and validation randomly. But the dataset is the same. | |
Apr 13, 2017 at 15:28 | comment | added | stmax | @user122358: I think this is still unclear: "You say randomly, but is this being redone each time your analysis is run?" Do you split your dataset once and then repeat training several times on the same split or do you repeat splitting + training several times? | |
Apr 13, 2017 at 0:44 | comment | added | user122358 | I have added some more detail, please let me understand what I am thinking wrong. | |
Apr 12, 2017 at 16:12 | history | answered | MentatOfDune | CC BY-SA 3.0 |