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  • scikit-learn
Scikit-learn:
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×
Confusion matrix
  • References/Python/scikit-learn/Examples/Model Selection

Example of confusion matrix usage to evaluate the quality of the output of a classifier on the iris data set. The diagonal elements represent the number of points for which

2025-01-10 15:47:30
Support Vector Regression using linear and non-linear kernels
  • References/Python/scikit-learn/Examples/Support Vector Machines

Toy example of 1D regression using linear, polynomial and RBF kernels. print(__doc__)

2025-01-10 15:47:30
preprocessing.Binarizer()
  • References/Python/scikit-learn/API Reference/preprocessing

class sklearn.preprocessing.Binarizer(threshold=0.0, copy=True)

2025-01-10 15:47:30
Feature Union with Heterogeneous Data Sources
  • References/Python/scikit-learn/Examples/General examples

Datasets can often contain components of that require different feature extraction and processing pipelines. This scenario might occur when:

2025-01-10 15:47:30

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