Wekamakes learning applied machine learning easy, efficient, and fun. It is a GUI tool that allows you to load datasets, run algorithms and design and run experiments with results statistically robust enough to publish. I recommend Weka to beginners in machine learning because it lets them focus...
WEKA is fully developed in Java. It provides integration with the SQL database using Java Database connectivity. It provides many machine learning algorithms to implement data mining tasks. These algorithms can either be used directly using the WEKA tool or can be used with other applications usin...
8. Click on “Run” to open the Run tab and click the “Start” button to run the experiment. The experiment should complete in just a few seconds. 9. Click on the “Analyse” to open the Analyse tab. Click the “Experiment” button to load the results from the experiment. Weka Bost...
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Image from weka.io How does AI personalization use machine learning? Artificial intelligence refers to digital software that is able to perform in a human-like way and learn from past experiences. Machine learning is a subset of AI that enables the development of algorithms and adaptive models, ...
Automated Machine Learning provides methods and processes to make Machine Learning available for non-Machine Learning experts, to improve efficiency of Machine Learning and to accelerate research on Machine Learning. While there are many AutoML packages out there, such asAutoWEKA...
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Check if you can re-configure your tool or library to allocate more memory. That is, a platform designed for handling very large datasets, that allows you to use data transforms and machine learning algorithms on top of it. A good example is Weka, where you can increase the memory as a...
In our previous work we used classical machine learning methods [23] based on WEKA [24]. Other methods include Waltz [25] using Position Specific Scoring Matrices (PSSM), or Bayessian classifier and weighted decision tree applied to long sequences of bacterial antibodies [26]. No more than ...
Click “OK” to close the algorithm configuration. Click the “Start” button to run the algorithm on the Ionosphere dataset. You can see that with the default configuration that logistic regression achieves an accuracy of 88%. Weka Classification Results for the Logistic Regression Algorithm ...