30 Questions
What type of machine learning is used when only data is given, without labels?
Unsupervised Learning
What is the main difference between classification and clustering in machine learning?
Classification uses predefined classes, while clustering identifies similarities between objects
What is the goal of reinforcement learning in machine learning?
To learn to choose actions that maximize rewards
What type of learning uses both labeled and unlabeled data?
Semi-supervised Learning
What is the term used to describe the output variable in a classification predictive model?
Target
What is the primary task of classification predictive modeling in machine learning?
To approximate the mapping function from input variables to discrete output variables
What is the primary objective of classification in machine learning?
To predict the class or category of new data
What is a feature in the context of machine learning classification?
An individual measurable property of the phenomenon being observed
What is the purpose of the fit(X, y) method in scikit-learn?
To train the classifier with the training data
What type of classification has more than two outcomes?
Multi-Class Classification
What is the purpose of the predict(X) method in scikit-learn?
To predict the target label for an unlabeled observation
In K-NN algorithm, how is a test point classified?
By assigning the label that is most frequent among the K training samples nearest to that query point
What is the term used to describe the evaluation of the classification model?
Evaluation
What is the primary use of the Logistic Regression algorithm?
For binary classification problems
How does the Support Vector Machine (SVM) algorithm perform classification?
By finding the hyper-plane that separates the classes very well
What is the purpose of K-fold Cross-Validation?
To evaluate the performance of a model on a dataset
What is the characteristic of a Naive Bayes classifier?
It assumes that the presence of a particular feature is unrelated to the presence of any other feature
What is a common application of K-NN algorithm?
Classification
What is the logistic function used for in Logistic Regression?
To generalize from linear regression
In which phase of the K-NN algorithm does most computation occur?
Test phase
How does a K-Nearest Neighbors classifier make predictions for real-valued data?
By returning the mean of K-nearest neighbors
What is the characteristic of how individual trees are built in an ensemble model?
On a subset of the features and the full set of observations
What is the assumption of a Naive Bayes classifier?
Features are independent of each other
How does a K-Nearest Neighbors classifier make predictions for discrete data?
By returning the most common class
What is the primary purpose of K-fold cross-validation?
Hyperparameter tuning
How many folds are created in a dataset of 100 rows if we divide it into groups of roughly equal size?
10
What type of machine learning problems can PyCaret's Classification Module be used for?
Binary or multiclass classification
What is the goal of PyCaret's Classification Module?
To predict class labels which are discrete and unordered
What is a common use case of PyCaret's Classification Module?
Predicting customer default
What does PyCaret's Classification Module provide through its setup function?
Several preprocessing features
Test your knowledge on machine learning concepts, including supervised, unsupervised, semi-supervised, and reinforcement learning. Learn how to apply advanced statistical approaches to improve classification algorithms and make accurate predictions.
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