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vanilla
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vanilla
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without limits, 509/901, 56% of all game outcomes +117 points
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without limits, 509/901, 56% of all game outcomes +117 points
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with limits:
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with limits:
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+1000 scores 160 corect, 176 wrong
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+1000 scores 160 corect, 176 wrong
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+500 scores 190 correct, 199 wrong
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+500 scores 190 correct, 199 wrong
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+250 291 correct, 237 wrong (32% accuracy, 26% wrong)
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+250 291 correct, 237 wrong (32% accuracy, 26% wrong)
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(its not any beter (actualy slightly worse) then random guessing)
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(its not any beter (actualy slightly worse) then random guessing)
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\n
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\n
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\n
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\n
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my algorithm
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my algorithm
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without limits, it pridicts 537/888, 60% of all game outcomes +186 points
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without limits, it pridicts 537/888, 60% of all game outcomes +186 points
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with limits it scores:
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with limits it scores:
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401 correct, 234 wrong (45% accuracy, 25% wrong)
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401 correct, 234 wrong (45% accuracy, 25% wrong)
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\n
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\n
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15 |
my algorithm is better in 69 cases (and would win me more money gambling)
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my algorithm is better in 69 cases (and would win me more money gambling)
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\n
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\n
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@Anarchid
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@Anarchid
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18 |
10% better then random in a system that is meant to be random is significant
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10% better then random in a system that is meant to be random is significant
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also you arent using the limmits, with limmits i can accurately predict the outcome of a game 45% of the time with a high level of certainty that i will be right (if this was gambling i would be rolling in the money)
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also you arent using the limmits, with limmits i can accurately predict the outcome of a game 45% of the time with a high level of certainty that i will be right (if this was gambling i would be rolling in the money)
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\n
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\n
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21 |
(30% of the games were too balanced to tell anything concrete from them)
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(30% of the games were too balanced to tell anything concrete from them)
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\n
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\n
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24 |
also if you negatively weigh bieng wrong
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25 |
(-1.5 or 2 per instance instead of -1 that is used)
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26 |
vanilla can not get a positive score at all
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27 |
my one breaks even at +40
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