Orange: CN2 Rule Viewer - Revision history

Onnowpurbo: /* Output */

2020-04-09T02:38:59Z

Output

Onnowpurbo: /* Contoh */

2020-04-09T02:38:19Z

Contoh

Onnowpurbo: /* Contoh */

2020-04-09T02:37:02Z

Contoh

Onnowpurbo at 02:31, 9 April 2020

2020-04-09T02:31:45Z

Onnowpurbo at 02:14, 28 January 2020

2020-01-28T02:14:57Z

Onnowpurbo at 01:07, 23 January 2020

2020-01-23T01:07:09Z

Onnowpurbo at 01:07, 23 January 2020

2020-01-23T01:07:00Z

Onnowpurbo at 12:09, 12 January 2020

2020-01-12T12:09:38Z

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html ==Referensi== * https://docs.biolab.si//3/visual-programming/widgets/visualize/c..."

2020-01-12T12:09:19Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html ==Referensi== * https://docs.biolab.si//3/visual-programming/widgets/visualize/c..."

New page

Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html

==Referensi==

* https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html

==Pranala Menarik==

* [[Orange]]

@@ Line 15: / Line 15: @@
 Widget CN2 Rule Viewer dapat menampilkan CN2 classification rules. Jika ada data yang tersambung, kita bisa menganalisa instance mana yang patuh pada kondisi yang di atur oleh rules.
+[[File:CN2RuleViewer-stamped.png|center|600px|thumb]]
 * Original order of induced rules can be restored.

@@ Line 30: / Line 30: @@
 [[File:CN2-Viewer-Example1.png|center|600px|thumb]]
-Pemilihan keluaran
+Pemilihan sebuah rule akan mengeluarkan data instance tertentu yang terfilter. Ini dapat dilihat di widget Data Table.
 ==Referensi==

@@ Line 26: / Line 26: @@
 ==Contoh==
-In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).
+Workflow di bawah adalah penggunaan sederhana widgetCN2 Rule Viewer. Pertama-tama, menggunakan widget File, data di load dan CN2 rule classifier di train. Kita menggunakan dataset titanic untuk membangun rule. Rules dapat dilihat menggunakan widget Rule Viewer. Untuk mengexplorasi berbagai alogitma CN2 dan mengerti bagaimana pengaturan parameter mempengaruhi proses learning, widget Rule Viewer harus terus open dan dalam penglihatan. Sehingga saat setting CN2 learning algorithm (hasilnya dapat langsung terupdate).
 [[File:CN2-Viewer-Example1.png|center|600px|thumb]]
-Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.
+Pemilihan keluaran
 ==Referensi==

@@ Line 1: / Line 1: @@
 Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html
@@ Line 14: / Line 13: @@
   Filtered Data: data instances covered by all selected rules
-A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.
+Widget CN2 Rule Viewer dapat menampilkan CN2 classification rules. Jika ada data yang tersambung, kita bisa menganalisa instance mana yang patuh pada kondisi yang di atur oleh rules.
 [[File:CN2RuleViewer-stamped.png|center|200px|thumb]]
@@ Line 28: / Line 28: @@
 In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).
-[[File:CN2-Viewer-Example1.png|center|200px|thumb]]
+[[File:CN2-Viewer-Example1.png|center|600px|thumb]]
 Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.

@@ Line 5: / Line 5: @@
 CN2 Rule Viewer
-Inputs
+==Input==
-    Data: dataset to filter
+ Data: dataset to filter
-    CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules
+ CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules
-Outputs
+==Output==
-    Filtered Data: data instances covered by all selected rules
+ Filtered Data: data instances covered by all selected rules
 A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.
@@ Line 18: / Line 18: @@
 [[File:CN2RuleViewer-stamped.png|center|200px|thumb]]
-    Original order of induced rules can be restored.
+* Original order of induced rules can be restored.
+* When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.
-    When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.
+* Click Report to bring up a detailed description of the rule induction algorithm and its parameters, the data domain, and induced rules.
 Additionally, upon selection, rules can be copied to clipboard by pressing the default system shortcut (ctrl+C, cmd+C).

← Older revision		Revision as of 01:07, 23 January 2020
Line 8:		Line 8:

	Data: dataset to filter		Data: dataset to filter
−
	CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules		CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules

← Older revision		Revision as of 12:09, 12 January 2020
Line 1:		Line 1:
	Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html		Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html
		+
		+
		+
		+	CN2 Rule Viewer
		+
		+	Inputs
		+
		+	Data: dataset to filter
		+
		+	CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules
		+
		+	Outputs
		+
		+	Filtered Data: data instances covered by all selected rules
		+
		+	A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.
		+
		+	../../_images/CN2RuleViewer-stamped.png
		+
		+	Original order of induced rules can be restored.
		+
		+	When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.
		+
		+	Click Report to bring up a detailed description of the rule induction algorithm and its parameters, the data domain, and induced rules.
		+
		+	Additionally, upon selection, rules can be copied to clipboard by pressing the default system shortcut (ctrl+C, cmd+C).
		+	Examples
		+
		+	In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).
		+
		+	../../_images/CN2-Viewer-Example1.png
		+
		+	Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.