Building Decision Trees in MATLAB for Classification and Regression
Classification Tree with the Iris Dataset
Load and prepare the Fisher iris data, then split into training and test partitions after standardizing the feature matrix.
load fisheriris;
features = meas; % 4 predictors
speciesLabel = species; % response
% Standardize
[featStd, muVals, sigVals] = zscore(features);
% Hold-out partitio ...
Posted on Mon, 02 Nov 2026 16:10:03 +0000 by whitehat
Replacing Deprecated Boston Housing Data with OpenML Integration in Scikit-Learn
In recent updates to the machine learning ecosystem, specifically within version 1.2 of the library, access to the classic boston housing dataset via load_boston() has been deprecated and removed. This decision stems from considerations regarding fairness and bias associated with the target variable definitions in older datasets. Consequently, ...
Posted on Fri, 25 Sep 2026 16:16:11 +0000 by jstone3503
Regression Algorithms: A Practical Guide to XGBoost, LightGBM, SVR, and Random Forest
LightGBM Parameters
Official documentation:
English: https://lightgbm.readthedocs.io/en/latest/pythonapi/lightgbm.LGBMRegressor.html#lightgbm.LGBMRegressor
Chinese: https://lightgbm.cn/docs/6/
The LGBMRegressor constructor accepts the following parameters:
lightgbm.LGBMRegressor(boosting_type='gbdt', num_leaves=31, max_depth=-1, learn ...
Posted on Thu, 07 May 2026 13:14:56 +0000 by big-dog1965