id3 editor

Do not know if you have this experience, some downloaded from the Internet MP3 Music, the file name is clearly 01, 02 such a serial number, but the play can show the correct name of the song, is it a bit strange?This is actually ID3 in the dark.ID3, typically located in a number of bytes at the beginning or end of a MP3 file, is appended with information about the MP3 's singer, title, album name, age, style, and so on, which is known as

First, IntroductionIn the beginning, I was prepared to learn the C4.5 algorithm, and later found that the core of the C4.5 algorithm is ID3 algorithm, so I went back to learn ID3 algorithm, because C4.5 is one of his improvements. As for what is improved, I will mention it in the following description.second, ID3 algorithmID3 algorithm is a classification decisio

I. Overview of decision tree classification algorithms the decision tree algorithm is based on data attributes (or features) and uses attributes as the basis to divide different classes. For example, for the following dataset (Dataset), the first and second columns are attribute (feature), the last column is category tag, 1 indicates yes, and 0 indicates no. The idea of the decision tree algorithm is to classify data based on attributes. For the above data, we can obtain the following decision t

The general idea of a ID3 algorithm The basic ID3 algorithm is constructed by constructing a decision tree from top to bottom to learn. The first thing we think about is where the structure of the tree starts, and this involves choosing attributes to construct the tree, so how do you choose Properties? To solve this problem, we use statistical tests to determine the ability of each instance attribu

1. Basic Concepts1) Definition:A decision tree is a predictive model; He represents a mapping relationship between object properties and object values, which represents a possible property value for each node in the tree.2) Representation method:By arranging instances from the root node to a leaf node, the leaf node is the classification that the instance belongs to. Each node on the tree specifies a test for a property, and each successive branch of the node corresponds to a possible value for

ID3 Algorithm of decision treeContent1.ID3 Concept 2. Information Entropy 3. Information Gain information Gain4. ID3 BIAS5. Python algorithm Implementation (tbd) one, ID3 conceptThe ID3 algorithm was first developed by Roscun (J. Ross Quinlan) in 1975 at the University of Sy

. But to make it look convenient, it will be combined. The code below is as follows: /* Created by Chico Chen Here, the main function is written as follows (vs2005 used by myself ): Int _ tmain (INT argc, _ tchar * argv []) I feel that DT comments are more detailed, so I will not explain too much in my blog. In addition, this code will place the test result in testresult.txt under the project directory. In addition, information related to the decision tree

Previously, we were working on an MP3 player for others, which was always used to load MP3 files from other domains. We all used sound. load method. The first parameter of this method is an MP3 address request, and the second parameter is something we usually ignore, the ID3 information can be output in the local test, but the MP3 files in different domains can be read on the server, and thus the ID3 inform

In the previous article, the ID3 decision tree based on information gain was introduced. The basic decision tree concept and the computation of ID3 decision tree based on information gain are introduced in this paper. This article describes how to use Python to implement a ID3 decision tree, where the main code from the machine learning combat in the book, I made

?! It is meaningless to have other nodes without a root. Therefore, the decision tree structure will be a top-down process (the root is at the top ); 2. When we want to extend the tree downward, each selection attribute is a recursive process, we will certainly learn the corresponding measurement methods. Next, we will introduce two methods (algorithms) to solve this problem. They are ID3 and C4.5. Because the C4.5 algorithm is an optimized version

Python implements decision tree C4.5 algorithm (improved based on ID3), c4.5id3 I. Introduction C4.5 is mainly improved based on ID3. ID3 selects the node with the largest information benefit value as the node. C4.5 introduces the new concept "information gain rate". C4.5 selects the attribute with the highest information gain rate as the tree node. II. Informati

The example in this paper describes how Python reads ID3 information in MP3. Share to everyone for your reference. The specific analysis is as follows: PYID3 is not good to use, often have not known.Mutagen good, but the default band of EASYID3 will not read the comments, you need to manually hack a bit The Python code is as follows: From Mutagen.mp3 import mp3import mutagen.id3from mutagen.easyid3 import easyid3easyid3.valid_keys["comment"]= "C

This article describes how to obtain id3 from an MP3 file in Python, and describes how to perform operations on file attributes in Python, for more information about how to obtain id3 from an MP3 file, see the example in this article. Share it with you for your reference. The details are as follows: Def getID3 (filename): fp = open (filename, 'R') fp. seek (-128, 2) fp. read (3) # TAG iniziale title =

The MPEG audio file uses the tag area to describe the relevant information of the audio file, such as the singer, album, release year, music name, genre, audio track, and additional information. The tag mentioned here is for ID3 V1, including V1.0 and V1.1. In the version definition of ID3 V1, the tag information is defined as follows: It is stored at the end of the MP3 file and occupies 128 bytes. When the

ID3 of decision tree Calculation of information gain: Information Entropy: Information entropy (entropy ". Assume that the target attribute in the training set is C and C has C1, C2 ,..., Cm values. The proportion of each value is P1, P2 ,..., Pm. The information entropy is defined: Example 3-2: The existing weather dataset is as follows. How does one obtain the information entropy of the dataset about the target attribute play ball? Solution: The wea

1. 1, the introduction of the problem 2. An example 3. Basic Concepts 4, ID3 5, C4.5 6. CART 7. Random Forest 2. What algorithms should we design so that the computer automatically classifies the application information of the loan applicant to determine whether the loan can be made? A girl's mother wanted to introduce her boyfriend to the girl, so she had the following conversation:

, 0.152, and 0.048 respectively. The maximum information gain attribute is outlook. Therefore, this node is the root node of the decision tree. Outlook Temperature Humidity Windy Play Yes No Yes No Yes No Yes No Yes No Sunny 2 3 Hot 2 2 High 3 4 False 6 2 9 5 Overcast 4 0 Mild 4 2 Normal 6 1 Trur 3 3 Rainy 3 2

Solve | Chinese Flash if the MP3 ID3 tag uses GB2312 encoding, then the Flash script output is garbledCode 1 var s:sound=new Sound (this);S.loadsound ("Dxh.mp3", false);S.onid3=function () {Trace (This.id3.songname);} The output results are:¶¡ïã» Dxh.mp3 's ID3v1 label correctly should be Songname= " lilac ", it appears that flash on the transfer code on the problem. Let's take a look at songname what is the bottom of this string? Code 2:var s:sound=n

ID3 Decision Tree: The most typical and influential decision tree algorithm in decision tree algorithm is the problem of attribute selection. The ID3 decision Tree algorithm uses the information gain degree as the selection test attribute. where P (AI) represents the probability of the AI occurring. Assuming that there are N incompatible event A1,a2,a3,...., An, and only one of them occurs, the average amou

As3 loading MP3 ID3 garbled solution most MP3 ID3 uses GBK/gb2312 character encoding. In As2, usedcodepage can be used to solve the problem, but in as3, even if usedcodepage is used, sound still uses utf8 encoding to read ID3 information when loading MP3 files, this makes the ID3 read by a large number of MP3 players g