Confusion Matrix

Accuracy

शुद्धता

The proportion of predictions a model gets correct out of all predictions.

Feature Importance

फिचर महत्त्व

A score showing how much each input feature contributes to a model's predictions.

Loss Function

लस फंक्सन / हानि फंक्सन

A measure of how far a model's predictions are from the correct answers.

Batch Inference

ब्याच इन्फरेन्स

Running predictions on many inputs together rather than one at a time.

Camera Calibration

क्यामेरा क्यालिब्रेसन

Determining a camera's properties to correct distortion and measure accurately.

Class Imbalance

वर्ग असन्तुलन

When some categories have far more examples than others, biasing a model.

Data Cleaning

डाटा सफाइ

Fixing or removing incorrect, incomplete, or duplicate data before analysis.

Decision Tree

निर्णय वृक्ष

A model that makes predictions by following a tree of yes/no questions about the data.