Classify movie projections and predict future projections
- 1 - datafile, .txt file with your data each column separated by a \t and each row by a new line (\n)
- 2 (optional) - algorithm, default: dt (decision tree) [et, dt, knn, lr, svr]
- 3 (optional) - --debug, enables debug output (print things such as data intermiate states)
- Using extra trees regression:
- Best accuracy -> 41%
- Average accuracy -> 33%
- Worst accuracy -> 26%
Use discretisation to pre-classify NormalizedAttendance (really low, low, medium, high, really high). Using this will enable me to apply naïve bayes and other classification algorithms.