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Structure Preprocessing
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Random training set split
Diverse training set split
What's the tool?
This tool can be used to split training set and test set by picking a subset of molecules randomly.
| Step 1: Upload data file
Choose your X_data file:
Example
Choose your y_data file:
Example
| Step 2: Set parameters
Set the test size for the data
If float, should be between 0.0 and 1.0 and represent the proportion of the dataset to include in the test split. If integer, represents the absolute number of test samples.
Set the random state for the data
Pseudo-random number generator state used for random sampling.
E-mail: biomed@csu.edu.cn
