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Results tagged with machine-learning
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user 98127
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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What does it mean when the model Learning Curve displays this behavior?
Yes, this is overfitting. As you can see in your loss curve the training loss is steadily decreasing like it should, but at the same time your validiation loss is increasing. On data the model hasn't …
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Why is the accuracy of a LinearSVC not the same as the SDGClassifier?
When used with loss="hinge" The SGDClassifier gives a LinearSVM, so they should be the same. This is matter of choosing the same hyperparameters for both. Can you check that you using the exact same p …
- 572
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What exactly is convergence rate referring to in machine learning?
A rate is always a gain per some time/step. A rate can exist even if the maximum is never reached. In supervised learning a loss function is defined, which is expected to have a global maximum, that w …
- 572
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Binary classification: how to transform features in real numbers?
The term you are looking for is text classification. There exists a huge number of tutorials and papers out there, for example this tutorial and this survey.
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Why are the ANN training and validation accuracy graphs not smooth?
Considering that your validation accuracy has bigger steps than your training accuracy, this may simply be an issue of data size. Accuracy counts correct/not correct, so if the model switches its opin …
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