题目
单项选择题
Question at position 6 True/False Question: There is no direct relationship between model complexity and overfitting. TrueFalse
选项
A.True
B.False
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标准答案
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思路分析
First, let's restate the question and options to clarify what is being asked.
Question: True/False Question: There is no direct relationship between model complexity and overfitting. True/False
Options: True; False
Now, evaluate each option in turn.
Option 1: True. This claim states that there is no direct relationship between how complex a model is and......Login to view full explanation登录即可查看完整答案
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类似问题
When can we say that overfitting occurred to our machine learning model? I When the model fails to train after several hours of runtime. II When the gap between the training and test errors is too large, no matter the absolute level of one of the two error numbers. III When the model cannot obtain a sufficiently low error value on the training set. IV When the model performs well on the training set but fails miserably on the test set.
Question6 Suppose that you have used a model to do a binary classification task where 50% of the data is from class 1 and the rest from class 2. Your training accuracy is around 90% and your validation accuracy is around 60%, how you interpret the result and what would be your next action? (select one) The model is overfitting the data and you will reduce the complexity of the model or increase your training sample The model is overfitting the data and you will increase the complexity of the model or increase your training sample The model is underfitting the data and you will reduce the complexity of the model or increase your training sample The model is underfitting the data and you will increase the complexity of the model or increase your training sample ResetMaximum marks: 1.5 Flag question undefined
In the above image, the prediction made at any value of X is shown by the blue line. This predictive model is an overfit for the training data.
Elbert's very complicated model with lots of features predicts the widgets in his warehouse very well! He's excited and decides to send out his predictive model to all the other warehouses in his company's vast network of warehouses so they can use it to predict how many widgets they need. Will his model work as well in predicting widgets in other warehouses?
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