The process to evaluate the prediction errors of a machine learning model is called ________()
A: Error analysis .
B: Bias analysis
C: Correlation analysis
D: Regression analysis
A: Error analysis .
B: Bias analysis
C: Correlation analysis
D: Regression analysis
举一反三
- All of the following are supervised learning ( ) . A: Neural network, Gaussian process regression, decision tree B: Decision tree, Gaussian process regression, collaborative training C: Decision tree, support vector machine, cluster analysis D: Decision tree, neural network, cluster analysis
- Object-oriented analysis and design are two important phases in software development， _______ of the following doesn’t belong to object –oriented analysis. A: Construct analysis model B: Identify analysis classes C: Determine interface specification D: Evaluate analysis model
- 在线分析 A: in-line analysis B: process analysis C: on-line analysis D: real-time analysis
- In regression analysis, if the coefficient of determination is 1.0, then the coefficient of correlation must be 1.0.
- When the size of the sample is between 0.1-10mg, the analysis is called: A: major analysis B: minor analysis C: trace analysis D: self-minor analysis