LOGISTIC REGRESSION IN PYTHON QUIZ DESCRIPTION Total Questions −30 00 Max Time − 15:00 Choose the incorrect numerical functions in the various function representation of machine learning. Case-based Neural Network Linear regression All of true How many types are available in machine learning? 2 3 4 5 Machine learning is a subset of ................ Deep Learning Artificial Intelligence Data Learining None of the above ............. is the approach of basic algorithm for decision tree induction. Greedy Top Down Procedural Step by Step What is called the application of machine learning methods to large databases? Data mining Internet of things Artificial intelligence None of the above The Bayes rule can be used in ................ Solving queries Increasing complexity Decreasing complexity Answering probabilistic query In Machine learning the module that must solve the given performance task is known as ............... Critic Generalizer Performance system All of these Which of the following is not numerical functions in the various function representation of Machine Learning? Case-based Neural Network Linear Regression Support Vector Machines What is machine learning? The selective acquisition of knowledge through the use of manual programs The selective acquisition of knowledge through the use of computer programs The autonomous acquisition of knowledge through the use of manual programs The autonomous acquisition of knowledge through the use of computer programs Which of the followings are most widely used metrics and tools to assess a classification model? Confusion matrix Cost-sensitive accuracy Area under the ROC curve All of the above Which of the following statement is true about prediction problems? The output attribute must be numeric. The output attribute must be categorical The resultant model is designed to determine future outcomes The resultant model is designed to classify current behavior. Which of the following is not a supervised learning? PCA Naive Bayesian Linear Regression Decision Tree Answer Identify which is not machine learning disciplines? Physiscs Information theory Nuero Statistics None of the above ........... are the best machine learning method. Fast Accuracy Scalable All of the above ............ is not a machine learning algorithm. SVG SVM Random forest All of the above Which of the folloiwng clustering algorithm merges and splits nodes to help modify nonoptimal partitions? K-Means clustering Conceptual clustering Agglomerative clustering All of the above Common classes of problems in machine learning is .............. Clustering Regression Classification All of the above What is the disadvantage of decision trees? Factor analysis Decision trees are robust to outliers Decision trees are prone to be overfit All of the above Who is the father of Machine Learning? Geoffrey Hill Geoffrey Chaucer Geoffrey Everest Hinton None of the above Machine Learning has various function representation, which of the following is not function of symbolic? Decision Trees Rules in propotional Logic Rules in first-order predicate logic Hidden-Markov Models (HMM) Supervised learning and unsupervised clustering both require at least one ............. Input attribute Output attribute Hidden attribute Categorical attribute Which one in the following is not Machine Learning disciplines? Physics Information Theory Neurostatistics Optimization Control How can you handle missing or corrupted data in a dataset? Drop missing rows or columns Assign a unique category to missing values Replace missing values with mean/median/mode All of the above What is the full form of PAC? Probably Approx Cost Probably Approximate Correct Probability Approx Communication None of the above Analysis of Machine Learning algorithm needs ................ Statistical learning theory Computational learning theory Both Statistical & Computational learning theory None of the above What are the three types of Machine Learning? Supervised Learning Unsupervised Learning Reinforcement Learning All of the above If machine learning model output involves target variable then that model is called as predictive model. True False Machine learning algorithms build a model based on sample data, known as ................. Training Data Transfer Data Data Training None of the above Missing data items are ........................ with Bayes classifier. Ignored Treated as equal compares Treated as unequal compares. Replaced with a default value. What is the another name for an output attribute? Predictive variable Estimated variable Dependent variable Independent variable Previous Next Total Question16 Wrong Answer13 Right Answer13
