Structured Data Classification Fresco Play MCQs Answers
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Course Path: Data Science/MACHINE LEARNING METHODS/Structured Data Classification
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Classification quiz
1.Identify the structured data from the following.
- Data from mySQL DB and Excel
- Data from mySQL DB
- Video clip
- Excel data
- Image
Answer: 1)Data from mySQL DB and Excel
Quiz : Classification Type
1.What kind of classification is our case study 'Churn Analysis'?
- Binary
- Multi label
- Multi class
Answer: 1)Binary
Quiz : Unique Command
1.Which command is used to identify the unique values of a column?
- unique()
- distinct()
- value_counts()
- shape
Answer: 1)unique()
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Quiz: Preprocessing
1.Which preprocessing technique is used to make the data Gaussian with zero mean and unit variance?
- Normalization
- Standardization
- Binarization
Answer: 2)Standardization
Quiz on Performance Evaluation Measures
1.The cross-validation technique is used to evaluate a classifier by dividing the data set into a training set to train the classifier and a testing set to test the same classifier model.
- False
- True
Answer: 2)True
2.True Negative is when the predicted instance and the actual instance are positive.
- False
- True
Answer: 1)False
3.True Positive is when the predicted instance and the actual instance are positive.
- False
- True
Answer: 2)True
Quiz-Final Assessment
1.What are the advantages of Naive Bayes?
- It will converge quicker than the discriminative models like logistic regression
- It requires less training data
- Both the options
- None of the options
Answer: 3)Both the options
2.The commonly used package for machine learning in Python is _________
- sklearn
- pillow
- jango
- bottle
Answer: 1)sklearn
3.The following are techniques to process missing values, except _______
- One hot encoding
- None of the options
- Dropping missing variables
- Imputing
Answer: 3)Dropping missing variables
4.Choose the correct sequence from the following.
- PreProcessing -> Model Building -> Predict
- Preprocessing -> Predict -> Train
- Data Analysis -> Preprocessing -> Model Building -> Predict
- Data Analysis -> Preprocessing -> Predict -> Train
Answer: 3)Data Analysis -> Preprocessing -> Model Building -> Predict
5.High classification accuracy always indicates a good classifier.
- False
- True
Answer: 1)False
6.Ensemble learning is used when you build component classifiers that are more accurate and independent of each other.
- False
- True
Answer: 2)True
7.A technique used to depict the performance in a tabular form that has 2 dimensions namely actual and predicted sets of data is ________
- Classification Accuracy
- Cross Validation
- Classification Report
- Confusion Matrix
Answer: 4)Confusion Matrix
8.Email spam detection is an example of ________
- Supervised classification
- Unsupervised classification
Answer: 2)Supervised classification
9.Ordinal variables have __________
- A clear logical order
- No logical order
Answer: 1)A clear logical order
10.Naive Bayes Algorithm is useful for ____________
- None of the options
- Slow scanning
- In-depth analysis
- Fast to classify
Answer: 4)Fast to classify
11.Imputing is a strategy to handle ____________
- Standardization
- Class Imbalance
- Missing Values
Answer: 3)Missing Values
12.A process used to identify unusual data points is _________
- Over Fitting
- Anomaly Detection
- Under fitting
Answer: 2)Anomaly Detection
13.Pruning is a technique associated with _________
- SVM
- Logistic regression
- Decision tree
- Linear regression
Answer: 2)Decision tree
14.What is the number of categorical attributes in the original dataset?
Download the dataset from https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/d546eaee765268bf2f487608c537c05e22e4b221/iris.csv to answer the question.
- 2
- 0
- 1
- 3
Answer: 3)1
15.How many classes will the following command return, while printing the length of classes?
(target classes in the dataset) : classes=list(iris['species'].unique())
Download the dataset from https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/d546eaee765268bf2f487608c537c05e22e4b221/iris.csv to answer the question.
- 3
- 4
- 1
- 2
Answer: 1)3
16.The fit(X, y) is used to _________
- Initialize the classifier
- Train the classifier
- Evaluate the classifier
- Test the classifier
Answer: 2)Train the classifier
17.How many new columns does the following command will return while printing the shape of the below data frame?
iris_series = pd.get_dummies(iris['Species'])
Download the dataset from https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/d546eaee765268bf2f487608c537c05e22e4b221/iris.csv to answer the question.
- 3
- 2
- 4
- 1
Answer: 1)3
18.Which classifier converges easily with less training data?
- Random Forest Classifier
- SVM Classifier
- Decision Tree Classifier
- Naive Bayes Classifier
Answer: 4)Naive Bayes Classifier
19.Let's assume you are solving a classification problem with a highly imbalanced class. The majority class is observed 99% of the time in the training data.
Which of the following is true when your model has 99% accuracy after taking the predictions on test data?
- For imbalanced class problems, the accuracy metric is a good idea.
- For imbalanced class problems, the accuracy metric is not a good idea.
- For imbalanced class problems, precision and recall metrics are not good.
Answer: 2)For imbalanced class problems, the accuracy metric is not a good idea.
20.To view the first 3 rows of the dataset, which of the following commands is used?
Download the dataset from https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/d546eaee765268bf2f487608c537c05e22e4b221/iris.csv to answer the question.
- iris.get(3)
- iris.top(3)
- iris.head(3)
- iris.select(3)
Answer: 3)iris.head(3)
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