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COMP309 Assignment 1!

  • 2-6 pages
  • Min 11pt font size
  • Due 2nd August

1.3 Tasks

  • Make table of classifier boxplots
  • Create tables (rows being classifiers, columns being datasets)
    • 1 table containg the lowest mean value of the test errors
    • 1 table showing best hyperparams for best test errors
  • Paragraph analysing results (which model performed best/why, how sensitive each model is)

2.2 Tasks

  • Test clusters

Classifiers

Classifier Plot
KNN KNN Plot
Gaussian NB Gaussian NB Plot
Decision Tree Decision Tree Plot
Logistic Regression Logistic Regression Plot
Gradient Boosting Gradient Boosting Plot
Random Forest Random Forest Plot
MLP MLP Plot

Analysis

  • each cell contains the lowest mean value of the test errors
Classifier Steel Plates Ionosphere Banknote auth
KNN 0.9767 0.8323 0.9973
Gaussian NB 0.9822 0.8597 0.8384
Decision Tree 0.6520 0.8183 0.8428
Logistic Regression 0.9989 0.8701 0.9714
Gradient Boosting 1.0000 0.8668 0.9608
Random Forest 0.6520 0.8483 0.8724
MLP 0.9984 0.8835 0.9687
Classifier Steel Plates Ionosphere Banknote auth
KNN 5 5 5
Gaussian NB 0.1 0.1 0.1
Decision Tree 1 1 1
Logistic Regression 0.1 5.0 0.1
Gradient Boosting 1 8 1
Random Forest 1 1 1
MLP 1e-05 10.0 10.0

Clustering

clustering

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