Grading Criterion for Term Project Phase I
Supplementary Assignment
Spatial Data Mining
CS697a, Spring 2010
Student Name: _____________________________________________________________________
TA: Jue Wang
Part 1: Experiments (60 pts)
Points
Experiment on test sets ( 0 to 60 pts)
1. Use the training set of last assignment to build the model and apply the model on
the test sets. Use J48 as the classifier. (30 pts)
2. Implement a script to automatically run 20 experiments which build the decision
tree by from underfitting to overfitting. (30 pts)
3. The script should automatically extract accuracy, precision, recall, F-measure
from the 20 experiments results to one file. (-100 pts if results are manually
extracted)
Part 2: Report (40 pts)
1.______
2.______
3.______
Points
Write a report to including the results of the following information : (40 pts)
1. Parameter settings
2. Experimental results
(Please discuss the differences among different tiles.)
Deductions:
1. Unbounded homework (-5 pts)
2. Incorrect submitted file name (-5 pts)
3. No hard copies or soft copies (-100 pts)
4. Manually extract the result from 20 experiments (-100 pts)
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1.______
2.______
3.______
4.______
Total Points (100 max): 1. _____
Comment :