data mining lab task:

(a) Create Training and test split of Your Data (b) Apply Different Classifiers on Split Data (c) Apply Different Classifiers using Cross Validation. (d) Evaluate Different Classification Results using Evaluation measures like Precision, Recall, F Measure etc (e) Make Comparison of performance of different classifiers and select the best classifier. Attach screen shots of the selected Classifier.

Note : You can do it in WEKA or Python as per your own choice. You need to choose data set of your own choice from any online repository. You can choose from Kaggle.com