Example code for customizing data and training a model using a RandomForestClassifier model for classifying log data. The code reads the data, splits the data into training and test data, and trains the model. It then measures the accuracy of the model using the test data and presents the results visually.
-
Notifications
You must be signed in to change notification settings - Fork 0
Example code for customizing data and training a model using a RandomForestClassifier model for classifying log data. The code reads the data, splits the data into training and test data, and trains the model. It then measures the accuracy of the model using the test data and presents the results visually.
Goktug-Dusunen/log-data-analysis-with-python
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Example code for customizing data and training a model using a RandomForestClassifier model for classifying log data. The code reads the data, splits the data into training and test data, and trains the model. It then measures the accuracy of the model using the test data and presents the results visually.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published