Test
Khamit
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Preguntas del test (95)
1The process of forming general concept definitions from examples of concepts to be learned.
- ADeduction
- Babduction
- Cconjunction
- Dinduction
2Computers are best at learning
- Afacts.
- Bconcepts.
- Cprocedures.
- Dprinciples.
3Data used to build a data mining model.
- Avalidation data
- Btraining data
- Ctest data
- Dhidden data
4Supervised learning and unsupervised clustering both require at least one
- Ahidden attribute.
- Boutput attribute.
- Cinput attribute.
- Dcategorical attribute.
5Supervised learning differs from unsupervised clustering in that supervised learning requires
- Aat least one input attribute.
- Binput attributes to be categorical.
- Cat least one output attribute.
- Douput attriubutes to be categorical.
6A regression model in which more than one independent variable is used to predict the dependent variable is called
- Aa simple linear regression model
- Ba multiple regression models
- Can independent model
- Dnone of the above
7A term used to describe the case when the independent variables in a multiple regression model are correlated is
- Aregression
- Bcorrelation
- Cmulticollinearity
- Dnone of the above
8A multiple regression model has the form: y = 2 + 3x1 + 4x2. As x1 increases by 1 unit (holding x2 constant), y will
- Aincrease by 3 units
- Bdecrease by 3 units
- Cincrease by 4 units
- Ddecrease by 4 units
9A multiple regression model has
- Aonly one independent variable
- Bmore than one dependent variable
- Cmore than one independent variable
- Dnone of the above
10A measure of goodness of fit for the estimated regression equation is the
- Amultiple coefficient of determination
- Bmean square due to error
- Cmean square due to regression
- Dnone of the above
11The adjusted multiple coefficient of determination accounts for
- Athe number of dependent variables in the model
- Bthe number of independent variables in the model
- Cunusually large predictors
- Dnone of the above
12The multiple coefficient of determination is computed by
- Adividing SSR by SST
- Bdividing SST by SSR
- Cdividing SST by SSE
- Dnone of the above
13For a multiple regression model, SST = 200 and SSE = 50. The multiple coefficient of determination is
- A0.25
- B4.00
- C0.75
- Dnone of the above
14A nearest neighbor approach is best used
- Awith large-sized datasets.
- Bwhen irrelevant attributes have been removed from the data.
- Cwhen a generalized model of the data is desireable.
- Dwhen an explanation of what has been found is of primary importance.
15Another name for an output attribute.
- Apredictive variable
- Bindependent variable
- Cestimated variable
- Ddependent variable
16Classification problems are distinguished from estimation problems in that
- Aclassification problems require the output attribute to be numeric.
- Bclassification problems require the output attribute to be categorical.
- Cclassification problems do not allow an output attribute.
- Dclassification problems are designed to predict future outcome.
17Which statement is true about prediction problems?
- AThe output attribute must be categorical.
- BThe output attribute must be numeric.
- CThe resultant model is designed to determine future outcomes.
- DThe resultant model is designed to classify current behavior.
18Which statement about outliers is true?
- AOutliers should be identified and removed from a dataset.
- BOutliers should be part of the training dataset but should not be present in the test data.
- COutliers should be part of the test dataset but should not be present in the training data.
- DThe nature of the problem determines how outliers are used.
- EMore than one of a,b,c or d is true.
19Which statement is true about neural network and linear regression models?
- ABoth models require input attributes to be numeric.
- BBoth models require numeric attributes to range between 0 and 1.
- CThe output of both models is a categorical attribute value.
- DBoth techniques build models whose output is determined by a linear sum of weighted input
attribute values. - EMore than one of a,b,c or d is true.
20Which of the following is a common use of unsupervised clustering?
- Adetect outliers
- Bdetermine a best set of input attributes for supervised learning
- Cevaluate the likely performance of a supervised learner model
- Ddetermine if meaningful relationships can be found in a dataset
- EAll of a,b,c, and d are common uses of unsupervised clustering.
21The average positive difference between computed and desired outcome values.
- Aroot mean squared error
- Bmean squared error
- Cmean absolute error
- Dmean positive error
22Selecting data so as to assure that each class is properly represented in both the training and test set.
- Across validation
- Bstratification
- Cverification
- Dbootstrapping
23The standard error is defined as the square root of this computation
- AThe sample variance divided by the total number of sample instances.
- BThe population variance divided by the total number of sample instances.
- CThe sample variance divided by the sample mean.
- DThe population variance divided by the sample mean.
24Data used to optimize the parameter settings of a supervised learner model.
- Atraining
- Btest
- Cverification
- Dvalidation
25Bootstrapping allows us to
- Achoose the same training instance several times.
- Bchoose the same test set instance several times.
- Cbuild models with alternative subsets of the training data several times.
- Dtest a model with alternative subsets of the test data several times.
26The correlation between the number of years an employee has worked for a company and
the salary of the employee is 0.75. What can be said about employee salary and years
worked?- AThere is no relationship between salary and years worked.
- BIndividuals that have worked for the company the longest have higher salaries.
- CIndividuals that have worked for the company the longest have lower salaries.
- DThe majority of employees have been with the company a long time.
- EThe majority of employees have been with the company a short period of time.
27The correlation coefficient for two real-valued attributes is –0.85. What does this value tell
you?- AThe attributes are not linearly related.
- BAs the value of one attribute increases the value of the second attribute also increases.
- CAs the value of one attribute decreases the value of the second attribute increases.
- DThe attributes show a curvilinear relationship.
28The average squared difference between classifier predicted output and actual output.
- Amean squared error
- Broot mean squared error
- Cmean absolute error
- Dmean relative error
29Simple regression assumes a __________ relationship between the input attribute and
output attribute.- Alinear
- Bquadratic
- Creciprocal
- Dinverse
30Regression trees are often used to model _______ data.
- Alinear
- Bnonlinear
- Ccategorical
- Dsymmetrical
31The leaf nodes of a model tree are
- Aaverages of numeric output attribute values.
- Bnonlinear regression equations.
- Clinear regression equations.
- Dsums of numeric output attribute values.
32Logistic regression is a ________ regression technique that is used to model data having a
_____outcome.- Alinear, numeric
- Blinear, binary
- Cnonlinear, numeric
- Dnonlinear, binary
33This technique associates a conditional probability value with each data instance.
- Alinear regression
- Blogistic regression
- Csimple regression
- Dmultiple linear regression
34This supervised learning technique can process both numeric and categorical input attributes.
- Alinear regression
- BBayes classifier
- Clogistic regression
- Dbackpropagation learning
35With Bayes classifier, missing data items are
- Atreated as equal compares.
- Btreated as unequal compares.
- Creplaced with a default value.
- Dignored.
36This clustering algorithm merges and splits nodes to help modify nonoptimal partitions.
- Aagglomerative clustering
- Bexpectation maximization
- Cconceptual clustering
- DK-Means clustering
37This clustering algorithm initially assumes that each data instance represents a single cluster.
- Aagglomerative clustering
- Bconceptual clustering
- CK-Means clustering
- Dexpectation maximization
38This unsupervised clustering algorithm terminates when mean values computed for the
current iteration of the algorithm are identical to the computed mean values for the previous
iteration.- Aagglomerative clustering
- Bconceptual clustering
- CK-Means clustering
- Dexpectation maximization
39Machine learning techniques differ from statistical techniques in that machine learning
methods- Atypically assume an underlying distribution for the data.
- Bare better able to deal with missing and noisy data.
- Care not able to explain their behavior.
- Dhave trouble with large-sized datasets.
40Point out the correct statement:
- ARaw data is original source of data
- BPreprocessed data is original source of data
- CRaw data is the data obtained after processing steps
- DNone of the Mentioned
41Which of the following is performed by Data Scientist ?
- ADefine the question
- BCreate reproducible code
- CChallenge results
- DAll of the Mentioned
42Which of the following is most important language for Data Science ?
- AJava
- BRuby
- CPython
- DNone of the Mentioned
43Point out the wrong statement:
- AMerging concerns combining datasets on the same observations to produce a result with more variables
- BData visualization is the organization of information according to preset specifications
- CSubsetting can be used to select and exclude variables and observations
- DAll of the Mentioned
44Which of the following approach should be used to ask Data Analysis question ?
- AFind only one solution for particular problem
- BFind out the question which is to be answered
- CFind out answer from dataset without asking question
- DNone of the mentioned
45Which of the following is one of the key data science skill ?
- AStatistics
- BMachine Learning
- CData Visualization
- DAll of the Mentioned
46Which of the following is characteristic of Processed Data ?
- AData is not ready for analysis
- BAll steps should be noted
- CHard to use for data analysis
- DNone of the mentioned
47Raw data should be processed only one time.
- AVerdadero
- BFalso
48The plot method on Series and DataFrame is just a simple wrapper around :
- Agplt.plot()
- Bplt.plot()
- Cplt.plotgraph()
- Dnone of the Mentioned
49Point out the correct combination with regards to kind keyword for graph plotting:
- A‘hist’ for histogram
- B‘box’ for boxplot
- C‘area’ for area plots
- Dall of the Mentioned
50Which of the following value is provided by kind keyword for barplot ?
- Abarh
- Bkde
- Chexbin
- Dnone of the Mentioned
51You can create a scatter plot matrix using the __________ method in pandas.tools.plotting.
- Asca_matrix
- Bscatter_matrix
- CDataFrame.plot
- Dall of the Mentioned
52Point out the wrong combination with regards to kind keyword for graph plotting:
- A‘scatter’ for scatter plots
- B‘kde’ for hexagonal bin plots
- C‘pie’ for pie plots
- Dnone of the Mentioned
53Which of the following plots are used to check if a data set or time series is random ?
- ALag
- BRandom
- CLead
- DNone of the Mentioned
54Which of the following plots are often used for checking randomness in time series ?
- AAutocausation
- BAutorank
- CAutocorrelation
- DNone of the Mentioned
55Plots may also be adorned with error bars or tables.
- AVerdadero
- BFalso
56__________ plots are used to visually assess the uncertainty of a statistic.
- ALag
- BRadViz
- CBootstrap
- DNone of the Mentioned
57Andrews curves allow one to plot multivariate data.
- AVerdadero
- BFalso
58Point out the correct statement:
- AThe choice of an appropriate metric will influence the shape of the clusters
- BHierarchical clustering is also called HCA
- CIn general, the merges and splits are determined in a greedy manner
- DAll of the Mentioned
59Which of the following is finally produced by Hierarchical Clustering ?
- Afinal estimate of cluster centroids
- Btree showing how close things are to each other
- Cassignment of each point to clusters
- Dall of the Mentioned
60Which of the following is required by K-means clustering ?
- Adefined distance metric
- Bnumber of clusters
- Cinitial guess as to cluster centroids
- Dall of the Mentioned
61Point out the wrong statement:
- Ak-means clustering is a method of vector quantization
- Bk-means clustering aims to partition n observations into k clusters
- Ck-nearest neighbor is same as k-means
- DNone of the Mentioned
62Which of the following combination is incorrect ?
- AContinuous – euclidean distance
- BContinuous – correlation similarity
- CBinary – manhattan distance
- DNone of the Mentioned
63Hierarchical clustering should be primarily used for exploration.
- AVerdadero
- BFalso
64Which of the following function is used for k-means clustering ?
- Ak-means
- Bk-mean
- Cheatmap
- DNone of the Mentioned
65Which of the following clustering requires merging approach ?
- APartitional
- BHierarchical
- CNaive Bayes
- DNone of the Mentioned
66All pandas data structures are ___-mutable but not always _______-mutable.
- Asize,value
- Bsemantic,size
- Cvalue,size
- Dnone of the Mentioned
67K-means is not deterministic and it also consist of number of iterations.
- AVerdadero
- BFalso
68Point out the correct statement:
- APandas consist of set of labeled array data structures
- BPandas consist of an integrated group by engine for aggregating and transforming data sets
- CPandas consist of moving window statistics
- DAll of the Mentioned
69Which of the following statement will import pandas?
- Aimport pandas as pd
- Bimport panda as py
- Cimport pandaspy as pd
- Dall of the Mentioned
70Which of the following object you get after reading CSV file?
- ADataFrame
- BCharacter Vector
- CPanel
- DAll of the Mentioned
71Point out the wrong statement:
- ASeries is 1D labeled homogeneously-typed array
- BDataFrame is general 2D labeled, size-mutable tabular structure with potentially heterogeneously-typed columns
- CPanel is generally 2D labeled, also size-mutable array
- DNone of the Mentioned
72Which of the following library is similar to Pandas ?
- ANumPy
- BRPy
- COutPy
- DNone of the Mentioned
73Panel is a container for Series, and DataFrame is a container for DataFrame Objects.
- AVerdadero
- BFalso
74Which of the following is prominent python “statistics and econometrics library”?
- ABokeh
- BSeaborn
- CStatsmodels
- DNone of the Mentioned
75Pandas consist of static and moving window linear and panel regression.
- AVerdadero
- BFalso
76Which of the following is contained in NumPy library?
- An-dimensional array object
- Btools for integrating C/C++ and Fortran code
- Cfourier transform
- Dall of the Mentioned
77Point out the wrong statement:
- Aipython is an enhanced interactive Python shell
- Bmatplotlib will enable you to plot graphics
- CrPy provides a lot of scientific routines that work on top of NumPy
- Dall of the Mentioned
78The ________ function returns its argument with a modified shape, whereas the ________ method modifies the array itself.
- Areshape,resize
- Bresize,reshape
- Creshape2,resize
- Dall of the Mentioned
79To create sequences of numbers, NumPy provides a function __________ analogous to range that returns arrays instead of lists.
- Aarange
- Baspace
- Caline
- Dall of the Mentioned
80Point out the correct statement:
- ANumPy main object is the homogeneous multidimensional array
- BIn Numpy, dimensions are called axes
- CNumpy array class is called ndarray
- DAll of the Mentioned
81Which of the following function stacks 1D arrays as columns into a 2D array?
- Arow_stack
- Bcolumn_stack
- Ccom_stack
- Dall of the Mentioned
82ndarray is also known as the alias array.
- AVerdadero
- BFalso
83Which of the following method creates a new array object that looks at the same data?
- Aview
- Bcopy
- Cpaste
- Dall of the Mentioned
84Which of the following function can be used to combine different vectors so as to obtain the result for each n-uplet?
- Aiid_
- Bix_
- Cixd_
- Dall of the Mentioned
85ndarray.dataitemSize is the buffer containing the actual elements of the array.
- AVerdadero
- BFalso
86In what way in Excel it is possible to join 2 or more strings?
- ATo put a symbol between strings "$"
- BTo put a “+” symbol between strings
- CTo use the function СУММ()
- DTo use the function СЦЕПИТЬ()
87Which of the presented formulas fulfills the described condition? From the text "21 апреля 2014 года" it is necessary to return the substring "2014". The text is located in cell A1.
- A=ЛЕВСИМВ(ПРАВСИМВ(A1; 9); 4)
- B=ПСТР(A1;НАЙТИ("2014";A1);ДЛСТР(A1))
- C=ЛЕВСИМВ(ПОДСТАВИТЬ(A1;ЛЕВСИМВ(A1;ПОИСК("2014";A1)-2);"");4)
- DNone of the above
88Choose a function that allows you to get rid of extra whitespace.
- AУДАЛИТЬ()
- BПОДСТАВИТЬ()
- CСЖПРБЛ()
- DСЖПРОБЕЛЫ()
89What symbol should start any formula in Excel?
- A=
- B:
- C->
90What column in the specified table can the function ВПР() search for the value of?
- AOnly by first
- BBy any column
- CBy columns that are to the left of the column to return a value
- DThe function ВПР does not perform such actions.
91What is the difference between function НАЙТИ() and ПОИСК()?
- ASubstring search is performed from different ends of the text.
- BThe function НАЙТИ() is case sensitive, ПОИСК() is not
- CFunctions do not differ, ПОИСК () is outdated
92What symbol needs to be used to lock the index of the address of a cell?
- A!
- B$
- C%
- D'
93What result will the function ИЛИ() return if at least one of its arguments is an incorrect equality?
- AИСТИНА
- BЛОЖЬ
- CОШИБКА
- DNot enough conditions to answer correctly.
94What function substitutes the result if its first argument returns an error?
- AЕОШИБКА()
- BСЛИОШИБКА()
- CЗАМЕНИТЬ()
- DОШИБКА()
95What result will be returned by function И() if at least incorrect equality is one of her argument?
- AИСТИНА
- BЛОЖЬ
- CОШИБКА
- DNot enough conditions to answer correctly.
Información
- Descripción
- Test sobre Khamit, creado por Khamit Zhussip el 18/12/2018.
- Autor
- Khamit Zhussip
- Idioma
- English
- Visitas
- 39
- Valoración
- Aún sin valoraciones Valora este test