ALBD
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samples/postCutoffMatrix view on Meta::CPAN
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samples/postCutoffMatrix view on Meta::CPAN
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samples/postCutoffMatrix view on Meta::CPAN
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samples/postCutoffMatrix view on Meta::CPAN
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samples/postCutoffMatrix view on Meta::CPAN
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samples/postCutoffMatrix view on Meta::CPAN
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samples/postCutoffMatrix view on Meta::CPAN
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samples/postCutoffMatrix view on Meta::CPAN
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samples/postCutoffMatrix view on Meta::CPAN
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samples/sampleExplicitMatrix view on Meta::CPAN
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samples/sampleExplicitMatrix view on Meta::CPAN
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samples/sampleExplicitMatrix view on Meta::CPAN
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t/goldSampleTimeSliceOutput view on Meta::CPAN
generating predictions
Squaring Matrix
Removing Known from Predictions
Applying Semantic Filter to Predictions
outputting predictions
getting row ranks
calculating precision and recall
----- average precision at 10% recall intervals (i recall precision) ---->
0 0.430555555555556 0.383928571428571
0.1 0.215277777777778 0.6125
0.2 0.243055555555556 0.425
0.3 0.458333333333333 0.404761904761905
0.4 0.486111111111111 0.412337662337662
0.5 0.701388888888889 0.414903846153846
0.6 0.729166666666667 0.425892857142857
0.7 0.756944444444444 0.421691176470588
0.8 0.972222222222222 0.440277777777778
0.9 1 0.426992753623188
1 1 0.426992753623188
calculating mean average precision
( run in 1.378 second using v1.01-cache-2.11-cpan-6f5a58438db )