The package

This function uses the LightGBM library to train a binary classification model, including data splitting, model training, and prediction.

The type of code 2024-12-16 12:15:07 12 views

Pandas NumPy

This function takes a DataFrame and a split ratio as input, and splits the DataFrame into two subsets, with the first subset containing more data.

Data segmentation function 2024-12-16 12:14:50 15 views

XGBoost NumPy

This function uses the XGBoost library to split the given dataset randomly, then trains an XGBoost classifier, and makes predictions on the test set.

The type of code 2024-12-16 12:10:08 3 views

wxPython

This function uses the wx.SplitString function from the wxPython library to split a string into multiple substrings based on a specified separator.

Function 2024-12-16 12:09:58 21 views

LightGBM numpy

This function uses a trained LightGBM model to predict the output for given input data. It first splits the input data into training and testing sets, then trains the model using the training set, and finally makes predictions using the trained model on the testing set.

The type of code 2024-12-16 12:02:17 4 views

The code

This code first generates a random dataset, and then trains a LightGBM classifier using the LightGBM library. The code includes steps such as data generation, data splitting, and model training.

The type of code 2024-12-16 12:01:50 4 views

The code

This code defines a function that uses the LightGBM library to train and predict a binary classification model and calculates the accuracy on the test set. The function includes steps such as data generation, model training, parameter setting, model prediction, and accuracy calculation.

The type of code 2024-12-16 12:01:50 4 views

LightGBM scikit-learn

This function uses the LightGBM library to train and predict a machine learning model. It first splits the training data into training and validation sets, then creates LightGBM datasets, defines model parameters, trains the model, and makes predictions on the test set.

Prediction function 2024-12-16 12:01:29 3 views

Scikit-learn RandomForestClassifier

This function uses the RandomForestClassifier from Scikit-learn to classify data, including data splitting, model training, prediction, and accuracy calculation.

Machine learning classification model 2024-12-16 11:57:51 4 views

sklearn (scikit-learn)

This function uses the Random Forest algorithm for classification, accepts the dataset and labels as input, and returns a classification report.

Machine learning classification 2024-12-16 11:57:32 4 views