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Doctors Medicines MCQs Q&A

Consider the results of a medical experiment that aims to predict whether someone is going to develop myopia based on some physical measurements and heredity. In this case, the input dataset consists of the person’s medical characteristics and the target variable is binary: 1 for those who are likely to develop myopia and 0 for those who aren’t. This can be best classified as

Consider the results of a medical experiment that aims to predict whether someone is going to develop myopia based on some physical measurements and heredity. In this case, the input dataset consists of the person’s medical characteristics and the target variable is binary: 1 for those who are likely to develop myopia and 0 for those who aren’t. This can be best classified as Correct Answer Decision Tree

  • A decision tree 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.
  • It is one way to display an algorithm that only contains conditional control statements.

Related Questions

Six persons A, B, C, D, E and F are going to any one place among six different places Delhi, Mumbai, Punjab, Odisha, Goa and UP (not necessarily in the same order). No two persons are going to the same place. B is not going to Delhi. E is going to Odisha. F is not going to Delhi and Goa. D is going to Mumbai. A and C are not going to UP. A is not going to Delhi. Who is going to Delhi?
A word arranging device rearranges words step-by-step in a particular order according to set of rules. The device stops when the final result is obtained.
Input: but going for crept te light sir
Step 1: crept but going for te light sir
Step 2: crept going light but for te sir
Step 3: crept going light but for sir te
And Step 3 is the last step for this input. Now, find out an appropriate step in the following question following the above rules. Question:
Input: more fight cats cough sough acts idea
What will be the last step for this input ?
Statements: Some target are chasable. All chasable are possible. Some possible are win. Conclusion: I. No target are win. II. Some win are target. III. Some possible are target.
Read the following statements and mark your answer according to the given below.
1. For variable input APP = MPP in the first stage.
2. For variable input APP = MPP at the end of the 1st stage.
3. For variable input APP = MPP at the start of 2nd stage.
4. For variable input APP = MPP in the 2nd stage.
The papaya learning algorithm is based on a dataset that consists of three variables – color, softness, tastiness of the papaya. Which is more likely to be the target variable?
Five persons namely A, B, C, D and E are going to the office on different days of the week, starting from Monday to Friday. Two persons are going between C and B. C is going before Wednesday. D is going to the office immediately after E. A is not going on Friday. Then who among the following persons are going to the office on Wednesday?
Five persons namely Rekha, Vinod, Rakesh, Jonne and Roy are going to the office on different days of the week, starting from Monday to Friday. Two persons are going between Rakesh and Vinod. Rakesh is going before Wednesday. Jonne is going to the office immediately after Roy. Rekha is not going on Friday. Then who among the following persons are going to the office on Wednesday?
The odds favouring the event of a person hitting a target are 3 to 5. The odds against the event of another person hitting the target are 3 to 2. If each of them fire once at the target, find the probability that both of them hit the target.
Consider a binary digital communication system with equally likely 0's and 1's. When binary 0 is transmitted the detector input can lie between the levels -0.25V and +0.25V with equal probability: when binary 1 is transmitted, the voltage at the detector can have any value between 0 and 1 V with equal probability. If the detector has a threshold of 0.2 V (i.e., if the received signal is greater than 0.2 V, the bit is taken as 1), the average bit error probability is
There are two sets given below in which Set I offers types of learner's characteristics and Set II gives their description. Match the two sets:   Set I (Learner’s   Characteristics)    Set II (Description) a. Academic Characteristics i. Learner encodes and decodes relevant messages correctly b. Social Characteristics ii. Learner selects different themes in his/her course when needed c. Emotional Characteristics iii. Learner works as a team member of the peers d. Cognitive Characteristics iv. Learner starts respecting the individual differences evident in likes and dislikes of members of his class Choose the correct answer from the following options: