AI Wiki
Category

Classification

44 articles

AUC (Area Under the ROC Curve)

Machine Learning, Model Evaluation

Accuracy

Machine Learning, Model Evaluation

AdaBoost

Boosting, Ensemble Methods, Machine Learning

Binary Classification

Machine Learning

CART algorithm

Algorithms, Machine Learning, Regression

Class-Imbalanced Dataset

Data Preprocessing, Machine Learning

Classification Model

Machine Learning

Classification Threshold

Machine Learning, Model Evaluation

Confusion Matrix

Machine Learning, Model Evaluation

Cost-sensitive learning

Machine Learning, Supervised Learning

Decision Boundary

Machine Learning

Decision Threshold

Machine Learning, Model Evaluation

Decision Tree

Decision Forests, Machine Learning

False Negative (FN)

Machine Learning, Model Evaluation

False Negative Rate

Machine Learning, Model Evaluation, Statistics

False Positive (FP)

Machine Learning, Model Evaluation

False Positive Rate (FPR)

Machine Learning, Model Evaluation, Statistics

Gini Impurity

Decision Trees, Machine Learning

Hinge Loss

Machine Learning, Optimization

Hyperplane

Linear Algebra, Machine Learning, Mathematics

Imbalanced Dataset

Data Quality, Machine Learning

Linear Discriminant Analysis

Dimensionality Reduction, Machine Learning, Statistics

Log Loss

Information Theory, Loss Functions, Machine Learning

Log-Odds

Machine Learning, Mathematics, Statistics

Logistic Regression

Machine Learning, Statistics

Majority class

Imbalanced Learning

Minority class

Imbalanced Learning

Multi-Class Classification

Machine Learning

Multi-Class Logistic Regression

Machine Learning, Statistics

Multinomial classification

Multi-class

Multinomial regression

Linear Models

Naive Bayes

Machine Learning, Statistics

Negative class

Machine Learning

One-vs.-all

Machine Learning

PR AUC

Evaluation, Machine Learning

PR AUC (area under the PR curve)

Machine Learning Metrics

Precision

Machine Learning, Model Evaluation

Precision-Recall Curve

Evaluation, Machine Learning

ROC (Receiver Operating Characteristic) Curve

Evaluation, Machine Learning

Recall (metric)

Machine Learning, Model Evaluation

Squared Hinge Loss

Loss Functions, Machine Learning, Support Vector Machines

Support Vector Machine (SVM)

Machine Learning, Supervised Learning

True positive (TP)

Machine Learning Metrics

True positive rate (TPR)

Machine Learning Metrics