![Page 1: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/1.jpg)
Department of Computer Science, University of Waikato, New Zealand
Bernhard Pfahringer(based on material by Eibe Frank, Mark
Hall, and Peter Reutemann)
WEKA: A Machine Learning Toolkit
The Explorer• Classification and
Regression• Clustering• Association Rules• Attribute Selection• Data Visualization
The Experimenter The Knowledge
Flow GUI Other Utilities Conclusions
Machine Learning with WEKA
![Page 2: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/2.jpg)
04/21/23 University of Waikato 2
WEKA: the bird
Copyright: Martin Kramer ([email protected])
The Weka or woodhen (Gallirallus australis) is an endemic bird of New Zealand. (Source: WikiPedia)
![Page 3: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/3.jpg)
04/21/23 University of Waikato 3
WEKA: the software Machine learning/data mining software written in
Java (distributed under the GNU Public License) Used for research, education, and applications Complements “Data Mining” by Witten & Frank Main features:
Comprehensive set of data pre-processing tools, learning algorithms and evaluation methods
Graphical user interfaces (incl. data visualization) Environment for comparing learning algorithms
![Page 4: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/4.jpg)
04/21/23 University of Waikato 4
History Project funded by the NZ government since 1993
Develop state-of-the art workbench of data mining tools Explore fielded applications Develop new fundamental methods
![Page 5: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/5.jpg)
04/21/23 University of Waikato 5
History (2) Late 1992 - funding was applied for by Ian Witten 1993 - development of the interface and infrastructure
WEKA acronym coined by Geoff Holmes WEKA’s file format “ARFF” was created by Andrew Donkin
ARFF was rumored to stand for AAndrew’s RRidiculous FFile FFormat Sometime in 1994 - first internal release of WEKA
TCL/TK user interface + learning algorithms written mostly in C Very much beta software Changes for the b1 release included (among others):
“Ambiguous and Unsupported menu commands removed.”“Crashing processes handled (in most cases :-)”
October 1996 - first public release: WEKA 2.1
![Page 6: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/6.jpg)
04/21/23 University of Waikato 6
History (3) July 1997 - WEKA 2.2
Schemes: 1R, T2, K*, M5, M5Class, IB1-4, FOIL, PEBLS, support for C5
Included a facility (based on Unix makefiles) for configuring and running large scale experiments
Early 1997 - decision was made to rewrite WEKA in Java Originated from code written by Eibe Frank for his PhD Originally codenamed JAWS (JAJAva WWeka SSystem)
May 1998 - WEKA 2.3 Last release of the TCL/TK-based system
Mid 1999 - WEKA 3 (100% Java) released Version to complement the Data Mining book Development version (including GUI)
![Page 7: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/7.jpg)
04/21/23 University of Waikato 7
WEKA: versions There are several versions of WEKA:
WEKA 3.4: “book version” compatible with description in data mining book
WEKA 3.5.5: “development version” with lots of improvements
This talk is based on a nightly snapshot of WEKA 3.5.5 (12-Feb-2007)
![Page 8: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/8.jpg)
04/21/23 University of Waikato 8
@relation heart-disease-simplified
@attribute age numeric@attribute sex { female, male}@attribute chest_pain_type { typ_angina, asympt, non_anginal, atyp_angina}@attribute cholesterol numeric@attribute exercise_induced_angina { no, yes}@attribute class { present, not_present}
@data63,male,typ_angina,233,no,not_present67,male,asympt,286,yes,present67,male,asympt,229,yes,present38,female,non_anginal,?,no,not_present...
WEKA only deals with “flat” files
![Page 9: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/9.jpg)
04/21/23 University of Waikato 9
@relation heart-disease-simplified
@attribute age numeric@attribute sex { female, male}@attribute chest_pain_type { typ_angina, asympt, non_anginal, atyp_angina}@attribute cholesterol numeric@attribute exercise_induced_angina { no, yes}@attribute class { present, not_present}
@data63,male,typ_angina,233,no,not_present67,male,asympt,286,yes,present67,male,asympt,229,yes,present38,female,non_anginal,?,no,not_present...
WEKA only deals with “flat” files
![Page 10: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/10.jpg)
04/21/23 University of Waikato 10
![Page 11: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/11.jpg)
04/21/23 University of Waikato 11
java -jar weka.jar
![Page 12: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/12.jpg)
04/21/23 University of Waikato 12
Explorer(pre-processing the data) Data can be imported from a file in various
formats: ARFF, CSV, C4.5, binary Data can also be read from a URL or from an SQL
database (using JDBC) Pre-processing tools in WEKA are called “filters” WEKA contains filters for:
Discretization, normalization, resampling, attribute selection, transforming and combining attributes, …
![Page 13: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/13.jpg)
04/21/23 University of Waikato 13
![Page 14: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/14.jpg)
04/21/23 University of Waikato 14
![Page 15: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/15.jpg)
04/21/23 University of Waikato 15
![Page 16: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/16.jpg)
04/21/23 University of Waikato 16
![Page 17: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/17.jpg)
04/21/23 University of Waikato 17
![Page 18: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/18.jpg)
04/21/23 University of Waikato 18
![Page 19: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/19.jpg)
04/21/23 University of Waikato 19
![Page 20: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/20.jpg)
04/21/23 University of Waikato 20
![Page 21: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/21.jpg)
04/21/23 University of Waikato 21
![Page 22: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/22.jpg)
04/21/23 University of Waikato 22
![Page 23: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/23.jpg)
04/21/23 University of Waikato 23
![Page 24: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/24.jpg)
04/21/23 University of Waikato 24
![Page 25: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/25.jpg)
04/21/23 University of Waikato 25
![Page 26: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/26.jpg)
04/21/23 University of Waikato 26
![Page 27: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/27.jpg)
04/21/23 University of Waikato 27
![Page 28: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/28.jpg)
04/21/23 University of Waikato 28
![Page 29: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/29.jpg)
04/21/23 University of Waikato 29
![Page 30: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/30.jpg)
04/21/23 University of Waikato 30
![Page 31: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/31.jpg)
04/21/23 University of Waikato 31
![Page 32: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/32.jpg)
04/21/23 University of Waikato 32
![Page 33: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/33.jpg)
04/21/23 University of Waikato 33
![Page 34: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/34.jpg)
04/21/23 University of Waikato 34
Explorer: building “classifiers” Classifiers in WEKA are models for predicting
nominal or numeric quantities Implemented learning schemes include:
Decision trees and lists, instance-based classifiers, support vector machines, multi-layer perceptrons, logistic regression, Bayes’ nets, …
“Meta”-classifiers include: Bagging, boosting, stacking, error-correcting output
codes, locally weighted learning, …
![Page 35: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/35.jpg)
04/21/23 University of Waikato 35
![Page 36: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/36.jpg)
04/21/23 University of Waikato 36
![Page 37: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/37.jpg)
04/21/23 University of Waikato 37
![Page 38: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/38.jpg)
04/21/23 University of Waikato 38
![Page 39: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/39.jpg)
04/21/23 University of Waikato 39
![Page 40: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/40.jpg)
04/21/23 University of Waikato 40
![Page 41: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/41.jpg)
04/21/23 University of Waikato 41
![Page 42: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/42.jpg)
04/21/23 University of Waikato 42
![Page 43: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/43.jpg)
04/21/23 University of Waikato 43
![Page 44: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/44.jpg)
04/21/23 University of Waikato 44
![Page 45: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/45.jpg)
04/21/23 University of Waikato 45
![Page 46: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/46.jpg)
04/21/23 University of Waikato 46
![Page 47: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/47.jpg)
04/21/23 University of Waikato 47
![Page 48: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/48.jpg)
04/21/23 University of Waikato 48
![Page 49: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/49.jpg)
04/21/23 University of Waikato 49
![Page 50: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/50.jpg)
04/21/23 University of Waikato 50
![Page 51: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/51.jpg)
04/21/23 University of Waikato 51
![Page 52: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/52.jpg)
04/21/23 University of Waikato 52
![Page 53: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/53.jpg)
04/21/23 University of Waikato 53
![Page 54: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/54.jpg)
04/21/23 University of Waikato 54
![Page 55: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/55.jpg)
04/21/23 University of Waikato 55
![Page 56: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/56.jpg)
04/21/23 University of Waikato 56
![Page 57: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/57.jpg)
04/21/23 University of Waikato 57
![Page 58: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/58.jpg)
04/21/23 University of Waikato 58
![Page 59: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/59.jpg)
04/21/23 University of Waikato 59
![Page 60: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/60.jpg)
04/21/23 University of Waikato 60
![Page 61: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/61.jpg)
04/21/23 University of Waikato 61
![Page 62: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/62.jpg)
04/21/23 University of Waikato 62
![Page 63: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/63.jpg)
04/21/23 University of Waikato 63
![Page 64: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/64.jpg)
04/21/23 University of Waikato 64
![Page 65: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/65.jpg)
04/21/23 University of Waikato 65
![Page 66: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/66.jpg)
04/21/23 University of Waikato 66
![Page 67: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/67.jpg)
04/21/23 University of Waikato 67
![Page 68: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/68.jpg)
04/21/23 University of Waikato 68
![Page 69: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/69.jpg)
04/21/23 University of Waikato 69
![Page 70: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/70.jpg)
04/21/23 University of Waikato 70
![Page 71: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/71.jpg)
04/21/23 University of Waikato 71
![Page 72: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/72.jpg)
04/21/23 University of Waikato 72
![Page 73: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/73.jpg)
04/21/23 University of Waikato 73
![Page 74: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/74.jpg)
04/21/23 University of Waikato 74
![Page 75: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/75.jpg)
04/21/23 University of Waikato 75
![Page 76: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/76.jpg)
04/21/23 University of Waikato 76
![Page 77: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/77.jpg)
04/21/23 University of Waikato 77
![Page 78: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/78.jpg)
04/21/23 University of Waikato 78
![Page 79: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/79.jpg)
04/21/23 University of Waikato 79
![Page 80: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/80.jpg)
04/21/23 University of Waikato 80
![Page 81: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/81.jpg)
04/21/23 University of Waikato 81
![Page 82: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/82.jpg)
04/21/23 University of Waikato 82
![Page 83: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/83.jpg)
04/21/23 University of Waikato 83
![Page 84: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/84.jpg)
04/21/23 University of Waikato 84
![Page 85: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/85.jpg)
04/21/23 University of Waikato 85
![Page 86: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/86.jpg)
04/21/23 University of Waikato 86
![Page 87: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/87.jpg)
04/21/23 University of Waikato 87
![Page 88: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/88.jpg)
04/21/23 University of Waikato 88
![Page 89: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/89.jpg)
04/21/23 University of Waikato 89
![Page 90: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/90.jpg)
04/21/23 University of Waikato 90
Explorer: clustering data WEKA contains “clusterers” for finding groups of
similar instances in a dataset Some implemented schemes are:
k-Means, EM, Cobweb, X-means, FarthestFirst Clusters can be visualized and compared to “true”
clusters (if given) Evaluation based on loglikelihood if clustering
scheme produces a probability distribution
![Page 91: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/91.jpg)
04/21/23 University of Waikato 91
![Page 92: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/92.jpg)
04/21/23 University of Waikato 92
![Page 93: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/93.jpg)
04/21/23 University of Waikato 93
![Page 94: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/94.jpg)
04/21/23 University of Waikato 94
![Page 95: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/95.jpg)
04/21/23 University of Waikato 95
![Page 96: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/96.jpg)
04/21/23 University of Waikato 96
![Page 97: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/97.jpg)
04/21/23 University of Waikato 97
![Page 98: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/98.jpg)
04/21/23 University of Waikato 98
![Page 99: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/99.jpg)
04/21/23 University of Waikato 99
![Page 100: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/100.jpg)
04/21/23 University of Waikato 100
Explorer: finding associations WEKA contains the Apriori algorithm (among
others) for learning association rules Works only with discrete data
Can identify statistical dependencies between groups of attributes: milk, butter bread, eggs (with confidence 0.9 and
support 2000) Apriori can compute all rules that have a given
minimum support and exceed a given confidence
![Page 101: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/101.jpg)
04/21/23 University of Waikato 101
![Page 102: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/102.jpg)
04/21/23 University of Waikato 102
![Page 103: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/103.jpg)
04/21/23 University of Waikato 103
![Page 104: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/104.jpg)
04/21/23 University of Waikato 104
Explorer: attribute selection Panel that can be used to investigate which
(subsets of) attributes are the most predictive ones Attribute selection methods contain two parts:
A search method: best-first, forward selection, random, exhaustive, genetic algorithm, ranking
An evaluation method: correlation-based, wrapper, information gain, chi-squared, …
Very flexible: WEKA allows (almost) arbitrary combinations of these two
![Page 105: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/105.jpg)
04/21/23 University of Waikato 105
![Page 106: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/106.jpg)
04/21/23 University of Waikato 106
![Page 107: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/107.jpg)
04/21/23 University of Waikato 107
![Page 108: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/108.jpg)
04/21/23 University of Waikato 108
![Page 109: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/109.jpg)
04/21/23 University of Waikato 109
![Page 110: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/110.jpg)
04/21/23 University of Waikato 110
![Page 111: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/111.jpg)
04/21/23 University of Waikato 111
Explorer: data visualization Visualization very useful in practice: e.g. helps to
determine difficulty of the learning problem WEKA can visualize single attributes (1-d) and
pairs of attributes (2-d) To do: rotating 3-d visualizations (Xgobi-style)
Color-coded class values “Jitter” option to deal with nominal attributes (and
to detect “hidden” data points) “Zoom-in” function
![Page 112: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/112.jpg)
04/21/23 University of Waikato 112
![Page 113: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/113.jpg)
04/21/23 University of Waikato 113
![Page 114: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/114.jpg)
04/21/23 University of Waikato 114
![Page 115: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/115.jpg)
04/21/23 University of Waikato 115
![Page 116: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/116.jpg)
04/21/23 University of Waikato 116
![Page 117: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/117.jpg)
04/21/23 University of Waikato 117
![Page 118: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/118.jpg)
04/21/23 University of Waikato 118
![Page 119: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/119.jpg)
04/21/23 University of Waikato 119
![Page 120: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/120.jpg)
04/21/23 University of Waikato 120
![Page 121: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/121.jpg)
04/21/23 University of Waikato 121
![Page 122: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/122.jpg)
04/21/23 University of Waikato 122
Performing experiments Experimenter makes it easy to compare the
performance of different learning schemes For classification and regression problems Results can be written into file or database Evaluation options: cross-validation, learning
curve, hold-out Can also iterate over different parameter settings Significance-testing built in!
![Page 123: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/123.jpg)
04/21/23 University of Waikato 123
![Page 124: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/124.jpg)
04/21/23 University of Waikato 124
![Page 125: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/125.jpg)
04/21/23 University of Waikato 125
![Page 126: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/126.jpg)
04/21/23 University of Waikato 126
![Page 127: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/127.jpg)
04/21/23 University of Waikato 127
![Page 128: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/128.jpg)
04/21/23 University of Waikato 128
![Page 129: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/129.jpg)
04/21/23 University of Waikato 129
![Page 130: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/130.jpg)
04/21/23 University of Waikato 130
![Page 131: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/131.jpg)
04/21/23 University of Waikato 131
![Page 132: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/132.jpg)
04/21/23 University of Waikato 132
![Page 133: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/133.jpg)
04/21/23 University of Waikato 133
The Knowledge Flow GUI
Java-Beans-based interface for setting up and running machine learning experiments
Data sources, classifiers, etc. are beans and can be connected graphically
Data “flows” through components: e.g.,“data source” -> “filter” -> “classifier” -> “evaluator”
Layouts can be saved and loaded again later cf. Clementine ™
![Page 134: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/134.jpg)
04/21/23 University of Waikato 134
![Page 135: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/135.jpg)
04/21/23 University of Waikato 135
![Page 136: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/136.jpg)
04/21/23 University of Waikato 136
![Page 137: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/137.jpg)
04/21/23 University of Waikato 137
![Page 138: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/138.jpg)
04/21/23 University of Waikato 138
![Page 139: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/139.jpg)
04/21/23 University of Waikato 139
![Page 140: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/140.jpg)
04/21/23 University of Waikato 140
![Page 141: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/141.jpg)
04/21/23 University of Waikato 141
![Page 142: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/142.jpg)
04/21/23 University of Waikato 142
![Page 143: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/143.jpg)
04/21/23 University of Waikato 143
![Page 144: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/144.jpg)
04/21/23 University of Waikato 144
![Page 145: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/145.jpg)
04/21/23 University of Waikato 145
![Page 146: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/146.jpg)
04/21/23 University of Waikato 146
![Page 147: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/147.jpg)
04/21/23 University of Waikato 147
![Page 148: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/148.jpg)
04/21/23 University of Waikato 148
![Page 149: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/149.jpg)
04/21/23 University of Waikato 149
Sourceforge.net – Downloads
![Page 150: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/150.jpg)
04/21/23 University of Waikato 150
Sourceforge.net – Web Traffic
WekaWiki launched – 05/2005
WekaDoc Wiki introduced – 12/2005
![Page 151: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/151.jpg)
04/21/23 University of Waikato 151
Projects based on WEKA 45 projects currently (30/01/07) listed on the WekaWiki Incorporate/wrap WEKA
GRB Tool Shed - a tool to aid gamma ray burst research YALE - facility for large scale ML experiments GATE - NLP workbench with a WEKA interface Judge - document clustering and classification RWeka - an R interface to Weka
Extend/modify WEKA BioWeka - extension library for knowledge discovery in biology WekaMetal - meta learning extension to WEKA Weka-Parallel - parallel processing for WEKA Grid Weka - grid computing using WEKA Weka-CG - computational genetics tool library
![Page 152: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/152.jpg)
04/21/23 University of Waikato 152
WEKA and PENTAHO Pentaho – The leader in Open Source Business
Intelligence (BI) September 2006 – Pentaho acquires the Weka project
(exclusive license and SF.net page) Weka will be used/integrated as data mining component in
their BI suite Weka will be still available as GPL open source software Most likely to evolve 2 editions:
Community edition BI oriented edition
![Page 153: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/153.jpg)
04/21/23 University of Waikato 153
Limitations of WEKA
Traditional algorithms need to have all data in main memory
==> big datasets are an issue Solution:
Incremental schemes Stream algorithms
MOA “MMassive OOnline AAnalysis”
(not only a flightless bird, but also extinct!)
![Page 154: Department of Computer Science, University of Waikato, New Zealand Bernhard Pfahringer (based on material by Eibe Frank, Mark Hall, and Peter Reutemann)](https://reader035.vdocument.in/reader035/viewer/2022062314/56649e865503460f94b89ba6/html5/thumbnails/154.jpg)
04/21/23 University of Waikato 154
Conclusion: try it yourself! WEKA is available at
http://www.cs.waikato.ac.nz/ml/weka Also has a list of projects based on WEKA (probably incomplete list of) WEKA contributors:
Abdelaziz Mahoui, Alexander K. Seewald, Ashraf M. Kibriya, Bernhard Pfahringer, Brent Martin, Peter Flach, Eibe Frank, Gabi Schmidberger, Ian H. Witten, J. Lindgren, Janice Boughton, Jason Wells, Len Trigg, Lucio de Souza Coelho, Malcolm Ware, Mark Hall, Remco Bouckaert, Richard Kirkby, Shane Butler, Shane Legg, Stuart Inglis, Sylvain Roy, Tony Voyle, Xin Xu, Yong
Wang, Zhihai Wang