GitHub - FH2093/Thesis: Master thesis: Predicting future donor behavior: a machine learning approach. This page consists of the files used for the whole dataset. Analysis on subsets were done with the same scripts, but other input files/features. Since we analyzed 7 subsets, we did not upload all of them for clarity.

FH2093 / Thesis Public

Notifications You must be signed in to change notification settings
Fork 1
Star 0

Master thesis: Predicting future donor behavior: a machine learning approach. This page consists of the files used for the whole dataset. Analysis on subsets were done with the same scripts, but other input files/features. Since we analyzed 7 subsets, we did not upload all of them for clarity.

0 stars 1 fork Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
1. Preprocessing - whole dataset.ipynb		1. Preprocessing - whole dataset.ipynb
1b. Preprocessing - Veldhuizen.ipynb		1b. Preprocessing - Veldhuizen.ipynb
2. Trainingen DT & SVM & LR & Perceptron - whole dataset.ipynb		2. Trainingen DT & SVM & LR & Perceptron - whole dataset.ipynb
3. Feature selection, Visualizing the DT.ipynb		3. Feature selection, Visualizing the DT.ipynb
4. Test DT accuracy with less features, visualize the DT.ipynb		4. Test DT accuracy with less features, visualize the DT.ipynb
female adv only DT.png		female adv only DT.png
female subset adv + tpb DT.png		female subset adv + tpb DT.png
hele dataset DT.png		hele dataset DT.png
hele dataset female DT.png		hele dataset female DT.png
hele dataset male DT.png		hele dataset male DT.png
male adv only DT.png		male adv only DT.png
male subset adv + tpb DT.png		male subset adv + tpb DT.png