From a719b2735eb7cfe76afb481ab58ef3a119062cf5 Mon Sep 17 00:00:00 2001 From: Christina Theodoridou Date: Sat, 19 Jan 2019 18:32:56 +0200 Subject: [PATCH] small fix --- report/3.features_and_preprocessing.tex | 3 ++- report/main.pdf | Bin 387475 -> 387544 bytes 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/report/3.features_and_preprocessing.tex b/report/3.features_and_preprocessing.tex index 5892eaf..3208026 100644 --- a/report/3.features_and_preprocessing.tex +++ b/report/3.features_and_preprocessing.tex @@ -72,6 +72,7 @@ To spectral complexity ή αλλιώς η φασματική πολυπλοκό \label{featureTable:table1} \end{figure} + \section{Προεπεξεργασία δεδομένων} Κατά την προεπεξεργασία των δεδομένων, δοκιμάστηκαν διάφορες τεχνικές έτσι ώστε να βρεθούν η βέλτιστη επιλογή χαρακτηριστικών και συνδυασμός μεθόδων. Οι μέθοδοι που δοκιμάστηκαν είναι η κλιμακοποίηση, κανονικοποίηση και ο συνδυασμός τους. Επίσης για την επιλογή των χαρακτηριστικών δοκιμάστηκαν το κατώφλι με βάση τη διακύμανση (VarianceThreshold) και η εκατοστιαία επιλογή (PercentileSelection), ενώ έγινε δοκιμή διάφορων τιμών των παραμέτρων αυτών των αλγορίθμων. @@ -103,7 +104,7 @@ To spectral complexity ή αλλιώς η φασματική πολυπλοκό Εν τέλει, αποφασίστηκε να χρησιμοποιηθεί μόνο η κλιμακοποίηση, επειδή η κανονικοποίηση δεν είχε κανένα αποτέλεσμα και το κέρδος σε ταχύτητα ταξινόμησης των παραπάνω τρόπων μείωσης του αριθμού χαρακτηριστικών δεν ήταν αρκετό συγκριτικά με την μείωση της ακρίβειας ώστε να δικαιολογήσει τη χρήση τους στην υλοποίηση. Βοήθησαν παρ' όλα αυτά στον προσδιορισμό των χαρακτηριστικών που υπερτερούν. -Στη συνέχεια, σε μία προσπάθεια περαιτέρω κατανόησης και κατάταξης των χαρακτηριστικών με βάση τη διακριτική τους ικανότητα, απομονώθηκαν όλα και ελέγχθηκαν ως προς την ακρίβειά τους ένα ένα. Τα αποτελέσματα έδειξαν ότι, τελικά, κανένα χαρακτηριστικό από μόνο του δεν είναι ικανό να δώσει ικανοποιητικό ποσοστό ακρίβειας. Ακόμα και αν πάρουμε το καλύτερο σε όρους ακρίβειας και το δοκιμάσουμε σε συνδυασμό με τα επόμενα καλύτερα, φαίνεται ότι η ακρίβεια αυξάνεται λίγο αλλά όχι αρκετά. Τέλος, αν επαναληφθεί ακόμα μία φορά η διαδικασία, φαίνεται ότι έχουμε και πάλι μια μικρή αύξηση στην ακρίβεια, η οποία όμως είναι αρκετά μακρυά από την ακρίβεια που επιτυγχάνεται χρησιμοποιώντας όλα τα χαρακτηριστικά. +Στη συνέχεια, σε μία προσπάθεια περαιτέρω κατανόησης και κατάταξης των χαρακτηριστικών με βάση τη διακριτική τους ικανότητα, απομονώθηκαν όλα και ελέγχθηκε η ακρίβειά τους ένα ένα. Τα αποτελέσματα έδειξαν ότι, τελικά, κανένα χαρακτηριστικό από μόνο του δεν είναι ικανό να δώσει ικανοποιητικό ποσοστό ακρίβειας. Ακόμα και αν πάρουμε το καλύτερο σε όρους ακρίβειας και το δοκιμάσουμε σε συνδυασμό με τα επόμενα καλύτερα, φαίνεται ότι η ακρίβεια αυξάνεται λίγο αλλά όχι αρκετά. Τέλος, αν επαναληφθεί ακόμα μία φορά η διαδικασία, φαίνεται ότι έχουμε και πάλι μια μικρή αύξηση στην ακρίβεια, η οποία όμως είναι αρκετά μακρυά από την ακρίβεια που επιτυγχάνεται χρησιμοποιώντας όλα τα χαρακτηριστικά. \begin{table}[H] \centering diff --git a/report/main.pdf b/report/main.pdf index a0dabdf0e55024f422d05d11b175be93afb2dede..8d90a2b5ae044a5a9b7f5644f231dbafe943d9a9 100644 GIT binary patch delta 17902 zcmZs>Q*_`>@GTk}lT7SnV%xSkv27<4=NH?yZQHhOOgyoDzyG=C;aoh_TD`ifAG%hr z+Eu%D;v(kSB4(Y5e4?TTLZgHHJ}f9xqOt}V6bB;_Baw2Vy*yoDg+^$F2IzkV_Md^b zR%k#38Uw6s%>4Xt&Mr=-hPH6-8<$#Au}6|9J@+&p(9{&qVxD)Ph(v9OONfr{GMK5B z`TGOA6e}(zm+Gq9(uyE1e&WbZ1tQ;ec5N>&~^5#dCc2U3JXA9Eg!m8NGdr z)eQW_k#w;kKh+5>(Yh$kEK#(6&N$uxi?Gn{N<*P(nj2h`W*)S)U-w^HjBa9$=wuv4Ow5u z8K5cYgOc1{7?o<>vymMZw)tFdw0#F>cfqit`Lc{oK zc4B`?mM(dTSSwye2F#Jy-1fABEEHWSx&mVEZVwRMhw?Xi#h2pT-ubtVjnM-w#5ADj zP3ke5QBH;#bek3@(q0b8`HLtN9QC8nHB+6K-g;6P%pGAOAed6vF6SWD*WJ+xV+Z(b z6BX*)Zbi-s)i|MzR`~xtWja%_n}I$PLok;<4J|XH`==p?A?5y4T@+oFR@Th#U0^-A 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