Louis Tiao ltiao

Autobackup

Overview

Automated backup management.

Installation

Required Software

3
2

=== Run information ===

Scheme:weka.classifiers.trees.J48 -C 0.25 -M 2
Relation:     iris
Instances:    150
Attributes:   5

COMP9417 - Machine Learning: Assignment 1

Chi-Chun Tiao: 3390558

- a. Observing the results of comparison by Percent_correct using DecisionStump as the baseline, we can see that there is no statistically significant difference in accuracy (Percent_correct) between J48 and DecisionStump on the datasets credit-rating (85.51% vs. 85.57%) and vote (95.63% vs. 96.57%).

First note that J48 is simply an implementation of the C4.5 algorithm that generates a decision tree of arbitrary depth, while DecisionStump generates a decision tree of depth one, i.e. a set of rules that test one attribute. Thus, one possible reason their accuracy might be approximately equivalent is that the inductive bias of decision tree learning (Occam's razor/preference of shorter trees) may not suit the dataset well, causing both algorithms to perform equally poor - not the case here with either dataset (both over 85% accuracy)! Another possible cause is the existence of a single attribute in the datase

	#!/usr/bin/python

	import pprint, requests, sys
	from bs4 import BeautifulSoup
	from itertools import izip

	base_url = 'http://www.bookshop.unsw.edu.au/cgi-bin/bookweb/subject2'

	subjects = []
	while True:

	#!/usr/bin/python

	import requests, optparse
	from bs4 import BeautifulSoup

	PRECISION = 2
	VERBOSE = False

	parser = optparse.OptionParser()
	parser.add_option('-f', '--from', action="store", dest="from")

	#!/usr/bin/python

	import requests
	from bs4 import BeautifulSoup

	EMAIL = ''
	PASSWORD = ''

	# Scrape login form and parse into a dict of fields and default vales for form submission
	payload = {}

	#!/usr/bin/python

	import requests, re, json
	from bs4 import BeautifulSoup

	r = requests.get('https://my.unsw.edu.au/amserver/UI/Login?module=ISISWSSO&IDToken1=')
	soup = BeautifulSoup(r.text)
	form = soup.find("form", {"id": "muLoginForm"})
	payload = {}
	for field in form.find_all("input"):

	import Test.QuickCheck
	import Data.List(sort, nub)

	data BinaryTree = Branch Integer BinaryTree BinaryTree
	\| Leaf
	deriving (Show, Ord, Eq)

	isBST :: BinaryTree -> Bool
	isBST Leaf = True
	isBST (Branch v l r) = allTree (< v) l && allTree (>= v) r && isBST l && isBST r

	try {
	String content = "hello world!\nThere are 2 lines in this file!";
	File file = new File("something.txt");
	file.createNewFile();
	FileWriter fw = new FileWriter(file.getAbsoluteFile());
	BufferedWriter bw = new BufferedWriter(fw);
	bw.write(content);
	bw.close();
	} catch (IOException e) {
	e.printStackTrace();