Computer Science · Machine Learning
वह स्थिति कौन सी कहलाती है जहाँ एक मॉडल की ट्रेनिंग त्रुटि (training error) घटती है जबकि टेस्ट त्रुटि (test error) बढ़ती है?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1उचित फिटिंग (Proper fitting)
- 2परीक्षण त्रुटि (Testing error)
- 3अंडरफिसिंग (Underfitting)
- 4ओवरफिसिंग (Overfitting)✓
सही उत्तर देखें
ओवरफिसिंग (Overfitting)
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