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## NPTEL Data Mining Assignment 6 Answers 2023:

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#### Q.1. Sufficient Number of output nodes required in an ANN used for two-class classification problem is:

#### Q.2. How are the weights and biases initialized in an ANN in general?

**a. Can be initialized randomly**- b. Always initialized to zero
- c. Always initialized to infinity
- d. Always initialized as 1

#### Q.3. In which of the below neural network, the links may connect nodes within the same layer or nodes from one layer to the previous layers?

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#### Q.4. Neural Networks are complex ______________ with many parameters.

**a. Linear Functions**- b. Nonlinear Functions
- c. Discrete Functions
- d. Exponential Functions

#### Q.5.** **Artificial neural network used for:

#### Q.6. A neuron with 3 inputs has the weight vector [0.2 -0.1 0.1]^T and a bias θ = 0. If the input vector is X = [0.2 0.4 0.2]^T then the total input to the neuron is:

- a. 0.2
**b. 0.02**- c. 0.4
- d. 0.10

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#### Q.7. A neural Network given below takes two binary inputs X_{1}, X_{2} ϵ {0,1} and the activation function for each neuron is the binary threshold function (g(a)= 1 if a >0; 0 otherwise). Which of the following logical functions does it compute?

#### Q.8. The neural network given bellow takes two binary valued inputs x_{1}, x_{2} ϵ {0,1}, the activation function for each neuron is the binary threshold function (g(a)= 1 if a >0; 0 otherwise). Which of the following logical functions does it compute?

#### Q.9. The neural network given bellow takes two binary valued inputs x_{1}, x_{2} ϵ {0,1} and the activation function is the binary threshold function (h(z)=1 if z>0;0 otherwise). Which of the following logical functions does it compute?

- a. OR
**b. AND**- c. NAND
- d. NOR

#### Q.10. Under which of the following situation would you expect overfitting to happen?

- a. With training iterations error on training set as well as test set decreases
**b. With training iterations error on training set decreases but test set increases**- c. With training iterations error on training set as well as test set increases
- d. With training iterations training set as well as test set error remains constant

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#### About NPTEL Data Mining Course:

Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. Finally, case studies on industrial problems will be demonstrated.

#### Course Layout:

**Week 1:**Introduction, Data Preprocessing**Week 2:**Association Rule Mining, Classification Basics**Week 3:**Decision Tree, Bayes Classifier, K nearest neighbor**Week 4:**Support Vector Machine, Kernel Machine**Week 5:**Clustering, Outlier detection**Week 6:**Sequence mining**Week 7:**Evaluation, Visualization.**Week 8:**Case studies

**CRITERIA TO GET A CERTIFICATE**:

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.

Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

**YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.**

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