neuralnet's Introduction
####################################################################################### # README FILE # Introduction to Machine Learning # Assignment 4 # # After completing the assignment, fill in this README file. It asks you to duplicate # your answer to several questions. Be certain that your answers in this README file # (which will be used for auto-grading) match the answers in your PDF writeup. # # This README file is formatted in YAML to allow it to be machine readable. Please # be very careful with how you edit it, being careful to following the formatting. # Make certain not to change any text in all UPPERCASE. After editing, you can make # certain that your README file follows proper YAML syntax by running it through an # online YAML checker, such as http://yaml-online-parser.appspot.com/ # # The most frequent error is multi-line strings, such as "SOURCESCONSULTED" and # "FEEDBACK_ERRORS". Make certain that the previous line ends with a | followed by a # newline. Then, make certain that the subsequent lines are indented one level in # (4 spaces). This sounds complex, but just follow the existing format of this file. # If you run into any problems that you can't fix easily in listing your sources or # providing feedback on the assignment, just include your multi-line string answers to # these parts as comments. Everything else (all simple one-word or numeric answers) must # be properly formatted YAML. # # Assignment Version 20151026a ####################################################################################### # Personal information (Be sure to change this!) FIRSTNAME: Jihai LASTNAME: An GTACCOUNT: jan61 GTID: 903056575 # List all sources of help that you consulted while completing this assignment # (other students, colleagues, textbooks, websites, etc.). This includes anyone you # briefly discussed the homework with. If you received help from the following sources, # you do not need to cite it: course instructor, course teaching assistants, course # lecture notes, course textbooks or other readings. # # If you didn't receive help from anyone, write "none". SOURCESCONSULTED: | While completing the assignment, I consulted the following sources: Chapter 2 of Pattern Recognition and Machine Learning by C. Bishop Chapter 5 of Machine Learning, A Probabilistic Perspective by K. Murphy ####################################################################################### # Answers to Problem 2: Backpropagation with Momentum # # Please list your final answers below for auto-grading. ####################################################################################### # Problem 2: What is the weight vector after the first epoch? (only your final answer) PROB_BACKPROPMOMENTUM_EPOCH1: (0.0997, 0.1017, 0.0980, 0.0884, 0.0936) # Problem 2: What is the weight vector after the second epoch? (only your final answer) PROB_BACKPROPMOMENTUM_EPOCH2: (0.1003, 0.0982, 0.1021, 0.1128, 0.1070) ####################################################################################### # Answer to Implementation Exercise 1: Text Classification ####################################################################################### # What was the training accuracy? TEXT20NEWS_ACCURACY_TRAIN_NB: 0.997171645749 TEXT20NEWS_ACCURACY_TRAIN_SVM: 0.994520063638 # What was the testing accuracy? TEXT20NEWS_ACCURACY_TEST_NB: 0.833643122677 TEXT20NEWS_ACCURACY_TEST_SVM: 0.83497079129 # What was the training precision? TEXT20NEWS_PRECISION_TRAIN_NB: 0.997245274751 TEXT20NEWS_PRECISION_TRAIN_SVM: 0.994530643847 # What was the testing precision? TEXT20NEWS_PRECISION_TEST_NB: 0.832164181142 TEXT20NEWS_PRECISION_TEST_SVM: 0.837717845394 # What was the training recall? TEXT20NEWS_RECALL_TRAIN_NB: 0.997049693621 TEXT20NEWS_RECALL_TRAIN_SVM: 0.994345065586 # What was the testing recall? TEXT20NEWS_RECALL_TEST_NB: 0.827207410178 TEXT20NEWS_RECALL_TEST_SVM: 0.827532661356 # What was the training time (in seconds)? TEXT20NEWS_TIME_TRAIN_NB: 0.19304895401 TEXT20NEWS_TIME_TRAIN_SVM: 13.7523949146 # Which classifier performed better overall? (answer either NAIVEBAYES or SVM -- you can choose only one) TEXT20NEWS_BESTCLASSIFIER: NAIVEBAYES ####################################################################################### # Answer to Implementation Exercise 2: Neural Network ####################################################################################### # What was the training accuracy? NEURALNET_ACCURACY_TRAIN: 0.9486 # What was the optimal learning rate? NEURALNET_OPTIMAL_LEARNINGRATE: 2 ####################################################################################### # Feedback on the Assignment (OPTIONAL) # # The following information will help us improve future versions of this assignment. # It is completely optional, but highly appreciated. Please be honest. ####################################################################################### # Approximately how many hours did it take you to complete this assignment? FEEDBACK_NUM_HOURS: 0 # Please list any typos / errors you noticed in the assignment description or skeleton code FEEDBACK_ERRORS: | None # Please describe any problems you encountered while completing this assignment FEEDBACK_PROBLEMS: | N/A
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