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WorksheetsLesson 3 Model Training
Total questions: 15
Worksheet time: 8mins
Q1. What is Spearmann Correlation?
Corelating the early man with a spear to model age practices
Strength and direction of the relationship between predicted and actual values
The relation between RMSE and MAE
Q2. What represents How close the regression line is to the true values?
RMSE
MAE
R-Squared
Spearmann Correlation
In which of these segments of the pipeline would you visualize your results?
Score Model
Evaluate Model
Since Automated ML can find the best model, we only need to fine tune its results and looking at other approaches is a waste of time?
True
False
Which of these is the best method for ensemble learning?
Bagging
Boosting
Stacking
Depends on your problem
Identify the false statement
Bagging reduces over fitting
Boosting reduces bias
Stacking increases Accuracy
None of the above
What's the output type in the regression problem?
Numerical or Continuous
Discrete
True negatives are the _____ cases that are _____ predicted as negative by the model?
Negative, Correctly
Positive, Correctly
Negative, Incorrectly
Positive, Incorrectly
Model Evaluation Metrics for Classification?
Accuracy
Precision
Recall
F1 score
ROC full form in the context of Machine learning ROC Curve?
Regressive operating characteristic
Recall operating characteristic
Receiver operating characteristic
Realistic operating characteristic
A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility?
Graphs
Trees
Decision tree
Neural Networks
The most widely used metrics and tools to assess a classification model are?
Confusion matrix
Cost-sensitive accuracy
Area under the ROC curve
All of the above
How do you handle missing or corrupted data in a dataset?
Drop missing rows or columns
Replace missing values with mean/median/mode
Assign a unique category to missing values
All of the above
F1 Score
Accuracy
Recall
Precision
Proportion of positive cases that are correctly identified by the model?
Accuracy
Recall
F1 score
Precision
