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Results tagged with machine-learning
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user 106183
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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Binary Classification with Imbalanced Target [closed]
I have a dataset and my objective is to run a Binary Classification, but my target feature, that is supposed to have "True" and "False", only has "True", as a value.
I was wondering, is this kind of d …
- 184
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Accepted
Model Architecture Design
Indeed you can have two different model architectures and they yield the similar output but that does not generalize on all the data input. For example SVM with linear kernel and logistic regression …
- 184
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Accepted
Interpreting Learning Curves
Bias and variance and their effect on overfitting and underfitting summarized in one illustration
Therefore, I think you a fit model, with reasonable variance and bias.
- 184
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unsupervised anomaly detection on sparse data
1- You better start with Isolation forest Isolation Forest This is a very simple algorithm where you can control the contamination rate of your data.
2- For visualization you can plot the anomalous po …
- 184