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Data MiningWhat do you mean by under-fitting and over-fitting of a classification model?20214mMACHINE LEARNINGExplain the model of over-fitting and under-fitting. Give the example of over-fitting and under-fitting in two-dimensional data.20227mMACHINE LEARNINGWhich of the following steps/assumptions in regression modeling impacts the trade-off between under-fitting and over-fitting the most? (i) The polynomial degree (ii) Whether we learn the weights by matrix inversion or gradient descent (iii) The use of a constant-term (iv) None of the above20222mMACHINE LEARNINGIn neural network. which of the following techniques is used to deal with over fitting? × (i) Dropout (ii) Regularization. (iii) Batch normalization (iv) All of the above20232m
PreviousBuild a decision tree using the training data in the table given below. Divide the height attribute into ranges as follows : \{0, 1.6\], (1.6, 1.7\], (1.7, 1.8\], (1.8, 1.9\], (1.9, 2.0\], (2.0, 5.0\] | Gender | Height (m) | Class | |:---:|:---:|:---:| | F | 1.6 | Short | | M | 2 | Tall | | F | 1.9 | Medium | | F | 1.88 | Medium | | F | 1.7 | Short | | M | 1.85 | Medium | | F | 1.6 | Short | | M | 1.7 | Short | | M | 2.2 | Tall | | M | 2.1 | Tall | | F | 1.8 | Medium | | M | 1.95 | Medium | | F | 1.9 | Medium | | F | 1.8 | Medium | | F | 1.75 | Medium |NextA university plans to build a data warehouse that would help them in analyzing the performance of the students in various courses in different academic sessions. They want to analyze if there is any relation between the average grade of a course and the number of students attending it. They would also like to know if there were some courses offered but did not have any students registered for them. Relative performance among boys and girls and average grades of students from various States and cities of the country for each course must be analyzed and also overall CGPA. Design a star schema for such a data warehouse clearly identifying the fact table(s) and dimension table(s), their primary key(s) and foreign key(s). Your schema should at least be able to satisfy the above-mentioned analysis requirements. You may consider other suitable attributes for the dimension table(s).