| 模型 | 模型答案 | 正确答案 |
|---|---|---|
| 金声玉亮2.0 | B. Includes as few variables as possible to explain the data. A parsimonious model is one that achieves a good balance between simplicity and explanatory power, using the fewest number of variables necessary to adequately explain the data. This approach helps to avoid overfitting and makes the model more interpretable and generalizable. |
A |
| deepseekr1 | The correct answer is **B**. A parsimonious model prioritizes simplicity by including the fewest variables necessary to adequately explain the observed data, aligning with principles like Occam's razor. While such a model avoids unnecessary complexity (ruling out A), it does not inherently guarantee correct specification (C) or imply mis-specification (D). The core focus is on minimalism without sacrificing explanatory power. Answer: B |
A |
| gpto1 | B | A |
| GPT-4o | B | A |
| llama3.1-70B-Instruct | B |
A |
| llama3.1-405B-Instruct | B. Includes as few variables as possible to explain the data. A parsimonious model is one that achieves a good balance between simplicity and explanatory power, using the fewest number of variables necessary to adequately explain the data. This approach helps to avoid overfitting and makes the model more interpretable and generalizable. |
A |
| DeepSeek-Coder-V2 | B | A |
| Qwen2-72B-Instruct | B. Includes as few variables as possible to explain the data | A |
| baichuan4 | B. Includes as few variables as possible to explain the data | A |
| doubao | B | A |
| minimax | B. Includes as few variables as possible to explain the data | A |
| kimi | B. Includes as few variables as possible to explain the data | A |
| wenxinyiyan | B. Includes as few variables as possible to explain the data A parsimonious model is one that includes as few variables as possible to explain the data. Parsimony, in the context of statistical modeling, refers to the principle of using the simplest possible model to explain observed data. This means selecting a model that includes only the most important variables while avoiding unnecessary complexity. |
A |
| zhipu | B. Includes as few variables as possible to explain the data A parsimonious model aims to achieve simplicity by including only the necessary variables that adequately explain the data, avoiding overfitting and making the model more interpretable. |
A |
| gpto1 | B | A |