LOGISTIC REGRESSION IN PYTHON QUIZ DESCRIPTION Total Questions −30 00 Max Time − 15:00 What are the three types of Machine Learning? Supervised Learning Unsupervised Learning Reinforcement Learning All of the above Data used to optimize the parameter settings of a supervised learner model is called ............... Test Training Validation 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 is the another name for an output attribute? Predictive variable Estimated variable Dependent variable Independent variable ............ is a widely used and effective machine learning algorithm based on the idea of bagging. Regression Classification Decision Tree Random Forest Choose the incorrect numerical functions in the various function representation of machine learning. Case-based Neural Network Linear regression All of true In Machine learning the module that must solve the given performance task is known as ............... Critic Generalizer Performance system All of these What is called the application of machine learning methods to large databases? Data mining Internet of things Artificial intelligence None 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 Which methods are used for the calibration in Supervised Learning? Platt Calibration Isotonic Regression Both Platt Calibration & Isotonic Regression None of the above Machine learning is a subset of ................ Deep Learning Artificial Intelligence Data Learining None of the above Regression trees are often used to model which data? Linear Nonlinear Categorical None of the above What is the way to ensemble multiple classifications or regression? Bagging Blending Boosting Stacking What is the full form of PAC? Probably Approx Cost Probably Approximate Correct Probability Approx Communication None of the above ........... are the best machine learning method. Fast Accuracy Scalable All of the above 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 A model of language consists of the categories, does not include ................. Language units Structural units System constraints Role structure of units Common classes of problems in machine learning is .............. Clustering Regression Classification All of the above What is the most significant phase in a genetic algorithm? Selection Mutation Crossover Fitness function 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. ............ is not a machine learning algorithm. SVG SVM Random forest All of the above Who is the father of Machine Learning? Geoffrey Hill Geoffrey Chaucer Geoffrey Everest Hinton None of the above Real-Time decisions, Game AI, Learning Tasks, Skill acquisition, and Robot Navigation are applications of ............. Reinforcement Learning Supervised Learning: Classification Unsupervised Learning: Regression None of the above What is the output of training process in machine learning? Null Accuracy Machine learning model Machine learning algorithm Missing data items are ........................ with Bayes classifier. Ignored Treated as equal compares Treated as unequal compares. Replaced with a default value. Identify which is not machine learning disciplines? Physiscs Information theory Nuero Statistics None of the above 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 Logistic regression is a ........... regression technique that is used to model data having a ............ outcome. Linear, binary Linear, numeric Nonlinear, binary Nonlinear, numeric Machine learning algorithms build a model based on sample data, known as ................. Training Data Transfer Data Data Training None of the above Regression discovers causal relationships. True False Previous Next Total Question16 Wrong Answer13 Right Answer13
