OneR? J4.8? …? … … … … … [40 points] Summary of Classification Experiments in Python. Use 10-fold At most 2/3 page. Tech. Guiding Parameters Post- Accuracy, Time Size Interesting Analysis & You can questions process Precision, to of patterns observations add & Recall, build in the about other Pruning ROC Area model model experiment columns ZeroR? 1? 2? 3? OneR? Decision tres? …? … … … … … [20 points] Summary of Weka and Python Classification Results, Analysis, Discussion, and Visualizations (at most 1/3 page) 1. Analyze the effect of varying parameters/experimental settings on the results. 2. Analyze the results from the point of view of the dataset domain, and discuss the answers that the experiments provided to your guiding questions. 3. Include (a part of) the best classification model obtained.
OneR? J4.8? …? … … … … … [40 points] Summary of Classification Experiments in Python. Use 10-fold At most 2/3 page. Tech. Guiding questions Parameters & Pruning Accuracy, Precision, Recall, ROC Area Time to build model Size of Interesting patterns in the model Analysis & observations about experiment You can add other columns ZeroR? OneR? Decision tres? …? 1? 2? 3? … … … … … [20 points] Summary of Weka and Python Classification Results, Analysis, Discussion, and Visualizations (at most 1/3 page) 1. Analyze the effect of varying parameters/experimental settings on the results. 2. Analyze the results from the point of view of the dataset domain, and discuss the answers that the experiments provided to your guiding questions. 3. Include (a part of) the best classification model obtained. process Post-
CS548_BCB503_F17_proj2_report_template.docx