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![balance](https://github.com/ElijahAgunbiade/Machine-LearningAutomatidata/assets/173221971/cbae4a92-4133-4676-9dc1-260daf45f260)
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I am creating two baselines:
1. A baseline based on just age and sex:
A logistic regression predicts "0" always and achieves accuracy of 0.78 and terrible f1 (0)
A random fores…
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I want to clarify, now hummingbird is no support random forest in LightGBM? Is it planned?
When I convert from lgbm to onnx this model, I get an error
lgb.LGBMClassifier(boosting_type='rf', n_esti…
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¡Hola! quizás sea un poco tonta la pregunta, pero ¿ es normal que cuando ejecuto de nuevo el fit y predicciones con los mismos parámetros (profundidad, criterio, etc.) me de rendimientos diferentes?
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Hi Alex,
Thanks for developing this package!
When using the random forest function the parameter "y" needs to be set to a factor for classification, other wise regression is performed. I was wonde…
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This is to collaborate on some issues with Spark RF also addressed by @jkbradley in comments to this post http://datascience.la/benchmarking-random-forest-implementations/ (see comments by Joseph Brad…
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@PayamEmami has suggested that we could have a session discussing how RF approaches can be applied due to their simplicity and power. I think this is a good idea and think we should discuss it furthe…
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