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Results tagged with machine-learning
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user 31822
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.
3
votes
Accepted
How to measure the correlation of different algorithms
For regression tasks correlation will be simply the correlation between the predicted values, for binary classification it will be correlation between predicted probabilities. In multiclass classifica …
- 378
5
votes
Difference between machine learning and artificial intelligence
Deep Learning is a subset of Machine Learning which is a subset of Artificial Intelligence. Machine learning is a particular approach for AI but not the only one. Symbolic Logic, Bayersian Statistics …
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0
votes
0
answers
173
views
Focus on predicting top n values
Assume a dataset of size $(m,p)$ where $m$ is the number of rows and $p$ is the number of columns. $m$ is a continuous set of independent variables. The dependent variable is continuous with fat tails …
- 378
2
votes
Why doesn't LightGBM perform better than SVC (linear kernel)? [sentiment analysis]
Xgboost usually gives a higher accuracy(this is just an observation, not a fact). But the trick with xgboost is people dont know how to best use it. The most common mistake made using xgboost is not l …
- 378
1
vote
accuracy prediction out of sample gone bad ! over fitting ?
You will need to provide the exact distribution of the 5 levels so I can comment if its a case of overfitting. Let's say one of your class is 90% of the data, and the model is giving 90% accuracy on o …
- 378