From: Mart Lubbers Date: Mon, 12 Sep 2016 13:26:01 +0000 (+0200) Subject: initial commit X-Git-Url: https://git.martlubbers.net/?a=commitdiff_plain;h=9014ddc2e5714eb436cd1a277ea285ab4ede75cf;p=itlast1617.git initial commit --- 9014ddc2e5714eb436cd1a277ea285ab4ede75cf diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..debc120 --- /dev/null +++ b/.gitignore @@ -0,0 +1,3 @@ +*.aux +*.pdf +*.log diff --git a/week3/Makefile b/week3/Makefile new file mode 100644 index 0000000..feeddb6 --- /dev/null +++ b/week3/Makefile @@ -0,0 +1,11 @@ +DOCUMENTS:=eml +PDFLATEXFLAGS:=-halt-on-error +PDFLATEX:=pdflatex $(PDFLATEXFLAGS) + +all: $(addsuffix .pdf,$(DOCUMENTS)) + +%.pdf: %.tex + pdflatex $< + +clean: + $(RM) -v $(addprefix $(DOCUMENTS),.pdf .log .aux) diff --git a/week3/eml.tex b/week3/eml.tex new file mode 100644 index 0000000..5e13726 --- /dev/null +++ b/week3/eml.tex @@ -0,0 +1,74 @@ +\documentclass[a4paper]{article} + +\usepackage{amssymb} +\usepackage{booktabs} +\usepackage{float} +\usepackage{geometry} + +\title{Exercise: Machine Learning} +\author{Mart Lubbers} +\date{\today} + +\begin{document} +\maketitle +\subsection*{Chapter 5: Machine Learning} +\begin{table}[H] + \centering + \begin{tabular}{lll} + \toprule + Method & Correctly classified & Root relative squared error\\ + \midrule + NaiveBayes & $96.6449\%$ & $35.7222\%$\\ + NaiveBayes (10FCF) & $96.4352\%$ & $37.1926\%$\\ + J48 & $96.6449\%$ & $34.9136\%$\\ + J48 (10FCF) & $96.4352\%$ & $36.5122\%$\\ + \bottomrule + \end{tabular} + \caption{Results for \texttt{P1D} and \texttt{FD}} +\end{table} + +\begin{table}[H] + \centering + \begin{tabular}{lllllll} + \toprule + \texttt{P2D} & \texttt{P1D} & \texttt{N2D} & \texttt{N1D} & \texttt{FW} & Correctly classified\\ + \midrule + \checkmark{} & \checkmark{} & \checkmark{} & \checkmark{} & \checkmark{} & $98.3225\%$\\ + \checkmark{} & \checkmark{} & \checkmark{} & \checkmark{} & & $97.3905\%$\\ + \checkmark{} & \checkmark{} & & \checkmark{} & \checkmark{} & $98.5555\%$\\ + \checkmark{} & \checkmark{} & & \checkmark{} & & $97.507\%$\\ + \checkmark{} & \checkmark{} & & & \checkmark{} & $98.0429\%$\\ + \checkmark{} & \checkmark{} & & & & $95.5732\%$\\ + + & \checkmark{} & \checkmark{} & \checkmark{} & \checkmark{} & $\%$\\ + & \checkmark{} & \checkmark{} & \checkmark{} & & $\%$\\ + & \checkmark{} & & \checkmark{} & \checkmark{} & $\%$\\ + & \checkmark{} & & \checkmark{} & & $\%$\\ + & \checkmark{} & & & \checkmark{} & $98.2992\%$\\ + & \checkmark{} & & & & $96.6449\%$\\ + + & & \checkmark{} & \checkmark{} & \checkmark{} & $\%$\\ + & & \checkmark{} & \checkmark{} & & $\%$\\ + & & & \checkmark{} & \checkmark{} & $\%$\\ + & & & \checkmark{} & & $\%$\\ + & & & & \checkmark{} & $88.4436\%$\\ + + \bottomrule + \end{tabular} + \caption{NaiveBayes} +\end{table} + +\subsection*{Chapter 6: Exercises} +\begin{itemize} + \item\emph{If we look at the Viterbi algorithm, we see that the + probability of state at a given position is calculated $n$ the basis of + the preceding $n$ states. However, it is claimed that the algorithm + takes into account the whole sequence. Explain in your own words (at + most $100$) how the probability is influenced by the rest of the + sequence, i.e.\ both the positions more than n back and the following + positions.} + + \item\emph{Explain in your own words (at most 50) how the EM algorithm + works. I don't mean the mathematics, but the underlying concept.} +\end{itemize} +\end{document} diff --git a/week3/lobtlb_nnvb.csv b/week3/lobtlb_nnvb.csv new file mode 100644 index 0000000..7abe67a --- /dev/null +++ b/week3/lobtlb_nnvb.csv @@ -0,0 +1,4293 @@ +P2W,P2A,P2D,P1W,P1A,P1D,N1W,N1A,N1D,N2W,N2A,N2D,FW,FA,FD +"any","DTI|RB","DTI","more","QL|AP|RBR","AP","life","NN|NC","NN","peers","NNS","NNS","labour","NN|VB","NN" +"meeting","NN|VBG","NN","of","IN|RB_1|IN_3","IN","MPs","NPTS","NPTS","tomorrow","NR","NR","labour","NN|VB","NN" +"some","DTI|PN_1|RB","DTI","left-wing","JJB","JJB",",","SCOM","SCOM","a","AT|AP_1|RB_1","AT","support","NN|VB","NN" +"majority","NN","NN","of","IN|RB_1|IN_3","IN","MPs","NPTS","NPTS","are","BER","BER","labour","NN|VB","NN" +"Foot","NP","NP","'s","GENM|BEZ|HVZ","GENM","will","MD|NN|VB","MD","be","BE|RB_2","BE","line","NN|VB","NN" +"that","CS|DT|WPR","CS","as","CS|IN|QL","CS","MPs","NPTS","NPTS","opposed","VBN|IN_2|VBD","VBD","labour","NN|VB","NN" 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