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WEKA Explorer User Guide

for Version 3-5-8

Richard Kirkby

Eibe Frank

Peter Reutemann

July 14, 2008

2002-2008 University of Waikato

Contents

1 Launching WEKA 2

2 The WEKA Explorer 4

2.1 Section Tabs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

2.2 Status Box . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

2.3 Log Button . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

2.4 WEKA Status Icon . . . . . . . . . . . . . . . . . . . . . . . . . . 5

2.5 Graphical output . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

3 Preprocessing 6

3.1 Loading Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

3.2 The Curre nt Relation . . . . . . . . . . . . . . . . . . . . . . . . 6

3.3 Working With Attributes . . . . . . . . . . . . . . . . . . . . . . 7

3.4 Working With Filters . . . . . . . . . . . . . . . . . . . . . . . . 8

4 Classiﬁcation 10

4.1 Selecting a Classiﬁer . . . . . . . . . . . . . . . . . . . . . . . . . 10

4.2 Test O ptio ns . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

4.3 The Class Attribute . . . . . . . . . . . . . . . . . . . . . . . . . 11

4.4 Training a Classiﬁer . . . . . . . . . . . . . . . . . . . . . . . . . 12

4.5 The Class iﬁer Output Text . . . . . . . . . . . . . . . . . . . . . 12

4.6 The Result List . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

5 Clustering 14

5.1 Selecting a Clusterer . . . . . . . . . . . . . . . . . . . . . . . . . 14

5.2 Cluster Modes . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

5.3 Ignoring Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . 14

5.4 Working with Filters . . . . . . . . . . . . . . . . . . . . . . . . . 15

5.5 Learning Clusters . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

6 Associating 16

6.1 Setting Up . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

6.2 Learning Associations . . . . . . . . . . . . . . . . . . . . . . . . 16

7 Selecting Attributes 17

7.1 Searching and Evaluating . . . . . . . . . . . . . . . . . . . . . . 17

7.2 Options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

7.3 Performing Selection . . . . . . . . . . . . . . . . . . . . . . . . . 17

8 Visualizing 19

8.1 The scatter plot matrix . . . . . . . . . . . . . . . . . . . . . . . 19

8.2 Selecting an individual 2D scatter plot . . . . . . . . . . . . . . . 19

8.3 Selecting Instances . . . . . . . . . . . . . . . . . . . . . . . . . . 20

• TreeVisualizer For displaying directed graphs, e.g., a decision

tree.

• GraphVisualizer Visualizes XML BIF or DOT format graphs,

e.g., for Bayesian networks.

• BoundaryVisualizer Allows the visualization o f class iﬁer deci-

sion boundaries in two dimensions.

5. Windows All open windows are listed here.

• Minimize Minimizes all current windows.

• Restore Restores all minimized windows again.

6. Help Online resourc es for WEKA can be found here.

• Weka homepage Opens a browser window with WEKA’s home-

page.

• Online documentation Directs to the WekaDoc Wiki [4].

• HOWTOs, code snippets, etc. The general WekaWiki [3], con-

taining lots of examples and HOWTOs around the development and

use of WEKA.

• Weka on Sourceforge WEKA’s project homepage on Sourceforge.net.

• SystemInfo Lists some internals about the Java /WEKA environ-

ment, e.g., the CLASSPATH.

• About The infamous “About” box.

To make it easy for the user to add new functionality to the menu with-

out having to modify the code of WEKA itself, the GUI now oﬀers a plugin

mechanism for such add-ons. Due to the inherent dynamic class discovery, plu-

gins only need to implement the weka.gui.MainMenuExtension interface and

WEKA notiﬁed of the package they reside in to be displayed in the menu un-

der “Extensio ns” (this extra menu appear s automatically as soon as extensions

are discovered). More details can be found in the Wiki article “Extensions for

Weka’s main GUI” [6].

If you launch WEKA from a terminal window, some text begins scrolling

in the terminal. Ignore this text unless something goes wrong, in which case it

can help in tracking down the cause (the LogWindow from the Program menu

displays that information as well).

This User Manual, which is also available online on the WekaDoc Wiki [4],

fo c uses on using the Explorer but does not explain the individual data prepro-

cessing tools a nd learning algorithms in WEKA. For more information on the

various ﬁlters and learning methods in WEKA, see the book Data Mining [2].

2 The WEKA Explorer

2.1 Section Tabs

At the very top of the window, just be low the title bar, is a row of tabs. When

the Explorer is ﬁrst started only the ﬁrst tab is active; the others are greyed

out. This is because it is necessary to open (and potentially pre- process) a data

set before starting to explore the data.

The tabs are as follows:

1. Preprocess. Choose and modify the data being acted on.

2. Classify. Train and test lear ning schemes that classify or perform regres-

sion.

3. Cluster. Learn clusters for the data.

4. Associate. Lear n association rules for the data.

5. Select attributes. Select the most relevant attributes in the data.

6. Visualize. View an interactive 2D plot of the data.

Once the tabs are active, clicking on them ﬂicks between diﬀerent scree ns , on

which the respec tive actions can be performed. The bottom area of the window

(including the status box, the log button, and the Weka bird) stays visible

regardless of which section you are in.

The Explorer can be eas ily extended with custom tabs. The Wiki article

“Adding tabs in the Explorer” [7] explains this in detail.

2.2 Status Box

The status box appears at the very bottom of the window. It displays messages

that keep you infor med about what’s g oing o n. For example, if the Explorer is

busy loading a ﬁle, the status box will say that.

TIP—right-clicking the mouse anywhere inside the status box brings up a

little menu. The menu gives two options:

1. Memory information. Display in the log box the amount of memory

available to WEKA.

2. Run garbage collector. For c e the Java garbage collector to sea rch for

memory that is no longer needed and free it up, allowing more memory

for new tasks. Note that the garbage collector is constantly running as a

background task anyway.

2.3 Log Button

Clicking on this button brings up a se parate window containing a scro llable text

ﬁeld. Each line of text is stamped with the time it was entered into the log. As

you pe rform actions in WEKA, the log keeps a reco rd of what has happened.

For people using the command line or the SimpleCLI, the log now also contains

the full setup strings for classiﬁcation, clustering, attribute selection, etc., so

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thetonyapple

2013-05-18

还好。。不过想找的是详细介绍weka里面的算法的书额？请问哪里有啊？
奥格瑞泽-孟

2013-05-09

比较详细的资料

xuwei1989404

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