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Results tagged with machine-learning
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user 95466
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
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Can random forests use cross validation? [duplicate]
As cross validation may help limit overfitting, I think this tech can also help random forest to avoid overfitting sometime. But it is little weird using cross validation because random forests are al …
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3
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2
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how to find outliers from high-dimensional data set?
The data has about 40 features and 500,000 instances. And the data is sparse. I wish to fit a svm model with the data. To fit svm, I need to first scale the data. However, if the data contains many ou …
- 533
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Which algorithm is more often used in recommendation system?
I have a data set with 100,000 instances and about 40 features. Each instance is a customer and each feature is a property of the customer. The first column is binary 0/1 which indices whether the cus …
- 533
3
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2
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how to solve the problem that the positive instances are much less than negative instances i...
For example, I have a data set contains 100,000 instances. There are only about 5,000 positive instances and negative instances are 95,000. I wish to fit the data using logistic regression or svm. How …
- 533
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How to know whether the data is linearly separable?
The data has many features (e.g. 100) and the number of instances is like 100,000. The data is sparse. I want to fit the data using logistic regression or svm. How do I know whether features are linea …
- 533