Page 141 - Artificial Intellegence_v2.0_Class_12
P. 141
. A is a pro ect here students must research a topic independently to get a deep understanding of
the sub ect matter.
a. AI model b. culminating report
c. senior report d. capstone
. ean quare rror ) is the most commonly used regression loss function. is the sum of squared distances
bet een our target variable and predicted values. Identify one feature of
a. It is sensitive to outliers
b. It is used on data, conditioned on the output variables.
c. It is good to use if the target data is normally distributed around a median value.
d. It should be compared ith ean Absolute rror, here the optimal prediction is the mean.
. In problem decomposition
i. nderstand the problem and then restate the problem in your o n ords
ii. ather all simple facts to create a complicated piece
iii. reak larger units into simpler ones
iv. ode one small unit at a time
hich of the follo ing is true
a. i) and ii) b. i), iii) and iv)
c. ii) and iv) d. i), ii), iii) and iv)
. or AI techniques to be applied to a dataset, the data must have a .
a. association b. relationship
c. pattern d. ither a or b
. An optimum AI model should have a value less than .
a. ean quare rror b. ean Absolute rror
c. uantile oss d. oot ean quare rror
. Determining hether a credit card transaction is fraudulent or not it uses technique.
a. Decision rees b. lassification
c. egression d. lustering
. he train test split is a technique for evaluating the performance of a machine learning algorithm.
hich machine learning algorithms can it be used for
i) egression ii) lustering
iii) lassification iv) Deep earning
a. Only i) b. Only ii)
c. oth i) and iii) d. oth ii) and iv)
. hich of the follo ing is O a lassification oss function
a. og oss b. inge oss
c. ponential loss d. ean Absolute rror
. After the initial data collection, techniques such as descriptive statistics and can be
applied to datasets to evaluate the content and quality of the data.
a. visualisations b. analysis
c. validation d. machine learning
C apstone P roj e ct 139

