3 classification algorithms implemented and tested on 4 datasets.

Performance of all classifiers is validated using 10-fold Cross Validation.

Accuracy, Precision, Recall, and F-1 measure of the classifiers is reported.

Each row represents a gene:

1. Each line represents an object
2. Last column is the class label
3. Rest of the columns represent feature values, each of them can be a real-value (continuous type) or a string (nominal type)