Q.1 Identify the unstructured data from the following.
A. Excel data
B. Image
C. Data from mySQL DB
D. Both image and video clip
E. Video clip
Ans : Both image and video clip
Q.2 Which preprocessing technique is used for dimensionality reduction?
A. HOG
B. SIFT
C. SVD
D. Normalization
Ans : SVD
Q.3 True Negative is when ______________.
A. The predicted instance and the actual instance are negative
B. The predicted instance and the actual instance are not negative
C. The predicted instance and the actual instance are unknown
D. The predicted instance and the actual instance are different
Ans : The predicted instance and the actual instance are negative
Q.4 The technique used to evaluate a classifier by dividing the data set into a train set to train the classifier and a test set to test the same is __________.
A. Support Vector Machine
B. StratifiedShuffleSplit
C. Principal Component Analysis
D. Cross Validation
Ans : Cross Validation
Q.5 True Positive is when _____________.
A. The predicted instance and the actual instance are unknown
B. The predicted instance and the actual instance are negative
C. The predicted instance and the actual instance are not negative
D. The predicted instance and the actual instance are different
Ans : The predicted instance and the actual instance are not negative
Q.6 True Negative is when the predicted instance and the actual instance are positive.
A. True
B. False
Ans : False
Q.7 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.
A. True
B. False
Ans : True
Q.8 The major steps involved in image classification are ___________
A. Input Image -> Preprocessing -> Classification -> Feature Extraction
B. Input Image -> Preprocessing -> Feature Extraction -> Classification
C. Preprocessing -> Input Image -> Feature Extraction -> Classification
D. Preprocessing -> Input Image -> Classification -> Feature Extraction
Ans : Input Image -> Preprocessing -> Feature Extraction -> Classification
Q.9 CIFAR-10 image dataset consists of ____________ training data and _____________ testing data.
A. 50000,10000
B. 40000,20000
C. 20000,40000
D. 10000,50000
E. 30000,30000
Ans : 50000,10000
Q.10 Cross validation gives high variance if the testing set and training set are not drawn from the ____________.
A. Same Population
B. Different Population
C. All the Options
Ans : Same Population
Q.11 The data used to tune the model is _____________.
A. Testing Set
B. Training Set
C. Validation Set
D. All the Options
Ans : Validation Set
Q.12 SIFT is mainly used for images that are ___________.
A. less simple and more organised
B. less simpled and less organised
C. more simple and less organised
D. more simple and more organised
Ans : less simpled and less organised
Q.13 The main aim of whitening is to reduce data redundancy.
A. True
B. False
Ans : True
Q.14 Conventional classification algorithms on image data.
A. gives significant accuracy
B. could not give significant accuracy
Ans : could not give significant accuracy
Q.15 The number of incorrect predictions that the occurrence is negative is False Negative.
A. True
B. False
Ans : True
Q.16 Singular values obtained from the SVD process utilizes ___________.
A. Low Storage Space
B. High Storage Space
Ans : Low Storage Space
Q.17 SVM is efficient on ___________.
A. High Dimensional Spaces
B. Low Dimensional Spaces
Ans : High Dimensional Spaces
Q.18 CNN is a algorithm in which it comes under.
A. Machine Learning
B. Deep Learning
C. None of the mentioned
D. All the Options
Ans : Deep Learning
Q.19 The steps involved in building a classification model are –
A. Initialize—->Train—->Predict—> Evaluate
B. Train—->Initialize—->Predict—>Evaluate
C. Initialize—->Train—->Evaluate—>Predict
D. Train—->Initialize—->Evaluate—> Predict
Ans : Initialize—->Train—->Predict—> Evaluate
Q.20 In cross validation, the number of samples used for training the model is _____________.
A. decreased
B. increased
C. used based on scenario
D. same
E. not used
Ans : decreased
Q.21 CNN is mainly used in.
A. Image Recognition
B. Pattern and Image Recognition
C. Pattern
D. Unstructured
E. Structured
Ans : Pattern and Image Recognition
Q.22 ZCA stands for ___________.
A. Zero Phase Covariance Analysis
B. Zero Phase Correlation Analysis
C. Zero Phase Analysis
D. Zero Phase Component Analysis
Ans : Zero Phase Component Analysis
Q.23 ___________ is the number of correct predictions that the occurrence is positive.
A. True Negative
B. False Positive
C. True Positive
D. False Negative
Ans : True Positive
Q.24 Allowing training data to be included in testing data will give actual performance results.
A. True
B. False
Ans : False
Q.25 Data Preprocessing is a step the raw data is converted into a form suitable for subsequent analysis.
A. True
B. False
Ans : True
Q.26 Noise can be removed using Data Preprocessing.
A. True
B. False
Ans : True
Q.27 Cross Validation is performed on ______________.
A. Unknown Data
B. Seen Data
C. All the Options
Ans : Unknown Data
