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Results tagged with machine-learning
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user 269469
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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101
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What is the affect of datasets having (Events Per Variable) EPV less than 10?
I read some studies in Software defect predictions (published in good journals) that mentioned that we should use datasets with an Events Per Variable (EPV) greater than 10; otherwise the results will …
- 31
0
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1
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36
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Which statistical tests should be used for significance difference
Some of my recent papers are denied from publications, where I have used the non-parametric wilcoxon test and the reviewers raised objections that p-values are not the reliable way of identifying the …
- 31
0
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2
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115
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Do Parameters optimization more feasible for industrial purpose than academic?
We use hyperparameter optimization to increase the performance of the data miners, however most of the researchers don't use the parameters tuning as it needs a lot of time and effort.
In academic r …
- 31
1
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1
answer
129
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Cross validation in trainControl function
If we use cross validation in trainControl function, still do we need to perform the prediction on test set or training data in train function is sufficient?
I split the data in training and testing …
- 31