📄 22_02_2004_results.txt
字号:
20 100
10 100
running adaBoost algorithm
step numbers: 900
Test error cycle result: 0.445000
Train error cycle result: 0.753750
run getError
100 100
90 100
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70 100
60 100
50 100
40 100
30 100
20 100
10 100
running adaBoost algorithm
step numbers: 800
Test error cycle result: 0.197000
Train error cycle result: 0.190000
run getError
100 100
90 100
80 100
70 100
60 100
50 100
40 100
30 100
20 100
10 100
running adaBoost algorithm
step numbers: 700
Test error cycle result: 0.351000
Train error cycle result: 0.766667
run getError
100 100
90 100
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70 100
60 100
50 100
40 100
30 100
20 100
10 100
running adaBoost algorithm
step numbers: 600
Test error cycle result: 0.322000
Train error cycle result: 0.764000
run getError
100 100
90 100
80 100
70 100
60 100
50 100
40 100
30 100
20 100
10 100
running adaBoost algorithm
step numbers: 500
Test error cycle result: 0.275000
Train error cycle result: 0.727500
run getError
100 100
90 100
80 100
70 100
60 100
50 100
40 100
30 100
20 100
10 100
running adaBoost algorithm
step numbers: 400
Test error cycle result: 0.129000
Train error cycle result: 0.366667
run getError
100 100
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60 100
50 100
40 100
30 100
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10 100
running adaBoost algorithm
step numbers: 300
Test error cycle result: 0.134000
Train error cycle result: 0.675000
run getError
100 100
90 100
80 100
70 100
60 100
50 100
40 100
30 100
20 100
10 100
running adaBoost algorithm
step numbers: 200
Test error cycle result: 0.054000
Train error cycle result: 0.690000
run getError
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60 100
50 100
40 100
30 100
20 100
10 100
running adaBoost algorithm
step numbers: 100
run adaboost with cycles == 100
Finish to Scan train & test file...
Start to Scan train & test file...
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