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Project weka
1.
WEKAนางสาว กมลพรรณ ประสงค์นิจกิจ 55102010983
2.
CLUSTERING
3.
CLUSTERING เปิดโปรแกรม Weka แล้วกดที่ปุ่ม
Explorer
4.
CLUSTERING กดที่ปุ่ม Open file
เพื่อทาการเลือกไฟล์
5.
CLUSTERING หน้าโปรแกรมจะแสดงข้อมูลต่างๆออกมา
6.
CLUSTERING ที่แถบ Cluster กดปุ่ม
Choose และเลือก SimpleKMean
7.
CLUSTERING กดที่ SimpleKMeans ใส่ค่า
numCluster
8.
CLUSTERING numClusters = 2
9.
CLUSTERING numClusters = 3
10.
CLUSTERING numClusters = 4
11.
CLUSTERING numClusters = 5
12.
CLUSTERING numClusters = 6
13.
CLUSTERING numClusters = 7
14.
CLUSTERING numClusters = 8
15.
CLUSTERING numClusters = 9
16.
CLUSTERING numClusters = 10
17.
CLUSTERING numClusters = 11
18.
CLUSTERING numClusters = 12
19.
CLUSTERING numClusters = 13
20.
CLUSTERING numClusters = 14
21.
CLUSTERING numClusters = 15
22.
CLUSTERING numClusters = 16
23.
CLUSTERING numClusters = 17
24.
CLUSTERING numClusters = 18
25.
CLUSTERING numClusters = 19
26.
CLUSTERING numClusters = 20
27.
CLUSTERING numClusters = 21
28.
CLUSTERING numClusters = 22
29.
CLUSTERING numClusters = 23
30.
CLUSTERING numClusters = 24
31.
CLUSTERING numClusters = 25
32.
CLUSTERING นาผลลัพธ์ที่ได้ไป Plot กราฟ 0 20 40 60 80 100 120 140 160 1
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Series1 จะเห็นว่ามี Knee Curve อยู่ที่ตาแหน่งที่ 23 เพราะฉะนั้นจะสามารถแบ่งกลุ่มได้ 23 กลุ่ม
33.
CLUSTERING ตารางแสดงการจาแนกกลุ่มตามการซื้อของในใบเสร็จ
34.
CLASSIFICATION
35.
CLASSIFICATION เลือกไฟล์ data.arff
36.
CLASSIFICATION ที่แถบ Classify กด
Choose และเลือก MultilayerPerceptron ทาการสร้าง โมเดล
37.
CLASSIFICATION Setting ค่าต่างๆ
38.
CLASSIFICATION เมื่อกดปุ่ม Start จะได้ค่าต่างๆออกมา
39.
CLASSIFICATION คลิกขวาที่ Result list
เลือก Save Model
40.
CLASSIFICATION เปิดไฟล์ predict.arff
41.
CLASSIFICATION เปิดไฟล์ predict.arff
42.
CLASSIFICATION ที่แถบ Classify แล้วคลิกขวาที่
Result List เลือก Load Model จากนั้นเลือก Model ที่ save ไว้
43.
CLASSIFICATION เลือก Supplied test
set แล้วกด set คลิก Open file… เลือก ไฟล์ที่จะทานายกับโมเดล
44.
CLASSIFICATION จะได้ผลลัพธ์ออกมา และคลิกขวาที่ Result
list เลือก Revaluate model on current test set
45.
CLASSIFICATION กดปุ่ม Save
46.
CLASSIFICATION ที่ Tools เลือก
ArffViewer
47.
CLASSIFICATION กด File เลือก
Open เลือกไฟล์ result.arff ที่เรา save ไว้
48.
CLASSIFICATION จะได้ผลลัพธ์ Predict fatthin
ที่ต้องการออกมา แล้วนาไป เปรียบเทียบค่าความถูกต้องกับข้อมูลจริง
49.
CLASSIFICATION ค่าความถูกต้องของการทานาย fatthin คือ
(9/10)*100 = 90% เปรียบเทียบระหว่างค่าที่ทานายได้กับข้อมูลจริง
50.
ASSOCIATE
51.
ASSOCIATE ที่แถบ Associate กดปุ่ม
Start
52.
ASSOCIATE ผลลัพธ์ที่ได้
53.
ASSOCIATE ผลลัพธ์ที่ได้
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