-> class : 0
-> 18
-> class : 1
-> 18
-> 0
-> 18
-> 0
-> 18
-> 0
-> 49
-> class : 0
-> 2
-> class : 1
-> 6
-> class : 0
-> 4
-> class : 0
-> 21
-> class : 1
-> 8
-> class : 0
-> 15
-> class : 1
-> 7
-> class : 0
-> 31
-> class : 0
-> 4
-> class : 1
-> 4
-> 0
-> 10
-> class : 0
-> 2
-> class : 1
-> 6
-> class : 0
-> 4
-> class : 0
-> 60 -> class : 1 -> 4 -> class : 1 -> 4 -> 0 -> 4 -> 0 -> 9 -> class : 1 -> 1 -> class : 1 -> 1 -> 0 -> 5 -> class : 1 -> 4 -> class : 1 -> 4 -> 0 -> 11 -> class : 0 -> 2 -> class : 1 -> 2 -> 0 -> 2 -> 0 -> 2 -> 0 Tree overfitted and remember all train selection Accuracy at tree with depth = 7: 0.9666666666666667 Make new tree using all train selection: Accuracy: 0.6875 Create random forest for binary classification. Forest accuracy: 0.734375 Try this method on other dataset Accuracy: 0.9883381924198251 Create random forest for binary classification. Forest accuracy: 0.9883381924198251
Process finished with exit code 0