Scikit-learn

This function uses the RandomForestClassifier from Scikit-learn to fit a model on the training data, make predictions on the test data, and then calculate and return the accuracy of the predictions.

Machine learning classification 2024-12-16 12:17:59 29 views

scikit-learn

This function uses the RandomForestClassifier to fit the training data and predict labels on the test data, returning the model's accuracy.

Machine learning classification 2024-12-16 12:16:42 20 views

SHAP library

This function uses the SHAP library to analyze the impact of each feature on the predictions of a given model. It visualizes the SHAP values for a subset of test data points.

The type of code 2024-12-16 12:16:41 16 views

Scikit-learn RandomForestClassifier

This function uses the RandomForestClassifier to train a model and evaluate its accuracy on test data. It first initializes a classifier using the RandomForestClassifier from the Scikit-learn library. Then, it fits the model on the training data. Next, it makes predictions on the test data and calculates the accuracy of the model.

Machine learning classification 2024-12-16 12:15:50 11 views

The code

This code defines a function that uses a random forest classifier to train a model on the training set and make predictions on the test set, returning the model's accuracy.

The type of code 2024-12-16 12:15:11 10 views

numpy shap

This function uses the SHAP library to explain a given RandomForestClassifier model and data, returning SHAP values for each sample and feature.

Function 2024-12-16 12:14:41 8 views

NumPy Pandas

This function uses a pre-trained RandomForestClassifier to classify customer data. It takes a customer ID and a dictionary of customer data as input and returns the classification result of the customer.

Classification function 2024-12-16 12:14:25 6 views

scikit-learn

This function uses the RandomForest algorithm to make predictions on a classification problem. It first splits the dataset into training and testing sets, then trains the model using the RandomForestClassifier, and finally predicts the results of the test set.

Classification function 2024-12-16 12:13:23 6 views

scikit-learn

This function uses the RandomForestClassifier from the scikit-learn library to perform classification on the given feature set X and label set y, and returns the accuracy on the test set.

Machine learning classification function 2024-12-16 12:11:40 3 views

Eli5 SKLearn

This code defines a function named random_eli5_function that randomly selects a function from the Eli5 library to explain a randomly generated RandomForestClassifier model. First, it randomly selects a function from the Eli5 library, then creates a random classification dataset and a RandomForestClassifier model. Next, it uses the selected function to explain the model.

The type of code 2024-12-16 12:11:10 21 views