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Which of the following can be true for selecting base learners for an ensemble?<br>1. Different learners can come from same algorithm with different hyper parameters<br>2. Different learners can come from different algorithms<br>3. Different learners can come from different training spaces

Correct Answer: 1, 2 and 3

Consider there are 7 weak learners, out of which 4 learners are voted as FAKE for a social media account and 3 learners are voted as REAL. What will be the final prediction for the account if we are using a majority voting method? 

interface Base{ boolean m1 (); byte m2(short s);}

which two code fragments will compile?
1. interface Base2 implements Base {}2. abstract class Class2 extends Base { public boolean m1(){ return true; }}3. abstract class Class2 implements Base {}4. abstract class Class2 implements Base { public boolean m1(){ return (7 > 4); }}5. abstract class Class2 implements Base { protected boolean m1(){ return (5 > 7) }}

Consider the following statements and choose the correct answer:
1. Average density of soil is 2.65 gms. per ml.
2. The spaces present between soil particles in a given volume of soil are called pore spaces
3. Porosity of the soil decreases with the increase in the percentage of organic matter in the soil
4. Macro-pore spaces have little water holding capacity and allow free movement of moisture and air in the soil under normal condition

In SQL, if a value is entered in CHAR datatype which does not occupy all the length spaces then the remaining spaces will be occupied with blank spaces.

We have been given a dataset with n records in which we have input attribute as x and output attribute as y. Suppose we use a linear regression method to model this data. To test our linear regressor, we split the data in training set and test set randomly. Now we increase the training set size gradually. As the training set size increases, what do you expect will happen with the mean training error?

Which is the part of training information system?
1. Opportunities
2. Training executed
3. Post training developments
4. Skill gaps
5. Number redeployed after training
6. Number retained in other new trades/skill

From an alloy, two specimens are machined and tested separately under tension and compression. The engineering stress-strain curves as well as the true stress-true strain curves for tension and compression are plotted in the same diagram. Identify the correct statements:
P. The engineering stress-strain curves in tension and compression are identical.
Q. The true stress-true strain curve in compression is lower than the true stresstrue strain curve in tension due to Bauschinger effect.
R. The true stress-true strain curve in tension is above the corresponding engineering stress-strain, curve.
S. The true stress-true strain curve in tension and compression are identical.

In the word " hyper sensitive' The prefix hyper' means____.

Which of the following statements are true/false?
1. ADDIE is an effective model for building a training programme.
2. TNA evaluates a training programme.
3. On-the-job training allowsthe person to learn the job by doing it in real work situation.

If you use an ensemble of different base models, is it necessary to tune the hyper parameters of all base models to improve the ensemble performance?