As classification results are commonly summarized in the form of a confusion matrix, special attention is paid to its graphical representation. From this analysis, a new visualization tool is derived, ...

Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We present a simple ...

Describe the issue linked to the documentation When using a Pipeline with PolynomialFeatures and Ridge, it's unclear in the documentation how to extract the actual model coefficients and intercept to ...

Objective The goal of this task is to build a binary classification model using Logistic Regression. The model is trained to predict a binary outcome (e.g., malignant vs benign tumors) using ...