Project Weka 54102010358
-
Upload
mike-rungwit -
Category
Education
-
view
47 -
download
0
Transcript of Project Weka 54102010358
![Page 1: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/1.jpg)
WEKACP463 B01 ARTIFICIAL INTELLIGENCE
![Page 2: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/2.jpg)
Clustering
![Page 3: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/3.jpg)
Data Instance = 68 Attributes = 60 Use SimpleKMeans Algorithm
![Page 4: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/4.jpg)
Knee Curve
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 200
20
40
60
80
100
120
140
160
180 Chart Title
Knee Curve : numCluster = 14
![Page 5: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/5.jpg)
ResultClustered Instances
6 1 ( 1%) 7 3 ( 4%) 8 1 ( 1%) 9 3 ( 4%)10 18 ( 26%)11 1 ( 1%)12 1 ( 1%)13 3 ( 4%)
0 3 ( 4%) 1 14 ( 21%) 2 7 ( 10%) 3 10 ( 15%) 4 1 ( 1%) 5 2 ( 3%) 6 1 ( 1%)
![Page 6: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/6.jpg)
Classification
![Page 7: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/7.jpg)
Classificationจำ��แนกที่�อยู่� อ�ศั�ยู่ของน�กศั�กษ�จำ�ก
ร�ยู่ก�รก�รซื้��อสิ�นค้��ในร��นสิะดวกซื้��อ 7-11 โดยู่ที่��ก�รแยู่กเป็#นน�กศั�ก�ที่�มี�ที่�อยู่� อ�ศั�ยู่ใน
กที่มี และน�กศั�กษ�ที่�อ�ศั�ยู่อยู่� ในกร&งเที่พมีห�นค้ร
![Page 8: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/8.jpg)
Data Train Instances = 59 Attributes = 60 Class = Habitat Use MultilayerPerceptron Test Option Cross Validation Folds =
10
![Page 9: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/9.jpg)
Train Result Correctly Classified Instances 48
70.5882% Incorrectly Classified Instances 20
29.4118%
Detailed Accuracy By ClassTP
RateFP Rate Precision Recall F-Measure ROC Area Class
1.000 1.000 0.706 1.000 0.828 0.602 provincial
0.000 0.000 0.000 0.000 0.000 0.602 bangkok
Weighted Avg.
0.706 0.706 0.498 0.706 0.584 0.602
![Page 10: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/10.jpg)
Confusion Matrix
Classification
provincial bangkok
Truth
provincial 48% 0%
bangkok 20% 0%
![Page 11: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/11.jpg)
Data TestInstances = 9
![Page 12: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/12.jpg)
Result
ผลล�พธ์+ก�รที่��น�ยู่ ค้��ตอบที่�ถู�กต�อง
![Page 13: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/13.jpg)
สิร&ป็ผลก�รที่�� Classify
ค้ว�มีถู�กต�องมี�เพ�ยู่ง 70.5882 %
ผลล�พธ์+ที่�ที่��น�ยู่ Habitat ผ�ด เน�องจำ�ก ข�อมี�ลที่�น��มี� train น�อยู่เก�นไป็ เร�ค้วร
เพ�มีข�อมี�ลที่�น��มี� train ให�มี�กกว �น��
![Page 14: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/14.jpg)
Association
![Page 15: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/15.jpg)
Association Use Apriori Algorithm Upper Bound Min Support = 1.0
![Page 16: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/16.jpg)
Result1. Wallovantine=F 67 ==> ChocoLavaCake =F 67 conf:(1)
2. ChocoLavaCake=F 67 ==> Wallovantine =F 67 conf:(1)
3. FishJor=F 67 ==> PorkanDressingSladCroussantSandwich =F 67 conf:(1)
4. PorkanDressingSladCroussantSandwich=F 67 ==> FishJor =F 67 conf:(1)
5. Butter=F 67 ==> PorkanDressingSladCroussantSandwich=F 67 conf:(1)
![Page 17: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/17.jpg)
Result6. PorkanDressingSladCroussantSandwich=F 67 ==> Butter =F 67 conf:(1)
7. FreshEgg4x=F 67 ==> PorkanDressingSladCroussantSandwich=F 67 conf:(1)
8. PorkanDressingSladCroussantSandwich=F 67 ==> FreshEgg4x=F 67 conf:(1)
9. OvaltinePass=F 67 ==> DuoChickenPizzaSandwich=F 67 conf:(1)
10. DuoChickenPizzaSandwich=F 67 ==> OvaltinePass =F 67 conf:(1)
![Page 18: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/18.jpg)
สิร&ป็ก�รที่�� Association
Associate น��กฎที่�ด�ที่�สิ&ดออกมี�แสิดงให�ด�
![Page 19: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/19.jpg)
Supplementary
![Page 20: Project Weka 54102010358](https://reader035.fdocuments.us/reader035/viewer/2022062304/55cdf7dfbb61eb98488b466a/html5/thumbnails/20.jpg)
Download File Data, Result and Model
Link download : https://www.dropbox.com/sh/jopgzmcf9vkp8rz/AABtkNJl_rSjGDvox6VVx5uUa?dl=0