XGBoost

Gradient Boosting

ग्र्याडियन्ट बुस्टिङ

An ensemble technique that builds models sequentially, each correcting the previous one's errors.

PyTorch

पाइटर्च

A popular open-source deep learning framework known for flexibility and ease of use.

AUC

एयूसी

The area under the ROC curve summarizing classification performance as a single number.

Benchmark

बेन्चमार्क / मापदण्ड

A standard dataset or test used to compare the performance of different models.

Early Stopping

अर्ली स्टपिङ

Halting training once validation performance stops improving to avoid overfitting.

Exploration vs Exploitation

अन्वेषण बनाम उपयोग

An RL tradeoff between trying new actions and using known rewarding ones.

FLOPS

फ्लप्स (FLOPS)

Floating-point operations per second, a measure of computing performance.

Gradient Clipping

ग्र्याडियन्ट क्लिपिङ

Capping gradient size during training to prevent unstable, exploding updates.