AdaBoost w/ JAVA (Prototype Project 01)

►screenshots: https://prototypeprj.blogspot.com/2020/07/adaboost-w-java.html
►Python version @ https://youtu.be/LVEyLaHBCUc

00:06 demo prebuilt version of the application
01:00 overall classifier classifies all data items correctly after 3 rounds
02:16 go over the discovered weak classifiers
04:14 classify a couple of new data items
05:13 code the application
05:33 go over the classes in this application
06:36 setup as JavaFX app.
07:00 define and pickup application training data as commons math library matrices
09:06 quick introduction to Boosting
10:21 start with same weight w for all data items
10:29 logic to be executed at every round
10:30 sum of weights must add up to1
10:36 calculate error rate for each weak classifier
10:50 pickup weak classifier with the lowest error rate
10:56 calculate alpha for the picked upweak classifier
11:03 recalculate the weights w
11:13 terminate successfully if the overall classifier classifies all data items correctly
11:29 go over weak classifier functionality while coding TreeTrunk class
20:57 code AdaBoost class
21:02 train method will contain logic that is executed at every round
23:02 method to pickup the best weak classifier
23:40 method that calculates alpha for the best weak classifier
24:09 method to recalculate the weights w
24:29 utility methods for matrix operations
25:19 calculate the sum of the weighted weak classifiers
28:30 classify new data item method
28:50 DisplayHelper code
29:44 finish coding Driver class
30:34 JavaFX code
32:15 test run completed application

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