threshold	recall	precision

0.05290171.0	0.521885521886
0.05333380.993548387097	0.52027027027
0.05394880.993548387097	0.522033898305
0.05395630.993548387097	0.52380952381
0.05435810.993548387097	0.525597269625
0.05473020.993548387097	0.527397260274
0.05498370.993548387097	0.529209621993
0.05526460.993548387097	0.531034482759
0.05538230.993548387097	0.532871972318
0.05594410.993548387097	0.534722222222
0.05596170.993548387097	0.536585365854
0.05636440.993548387097	0.538461538462
0.05711090.993548387097	0.540350877193
0.057710.993548387097	0.542253521127
0.05813990.993548387097	0.544169611307
0.05878070.993548387097	0.54609929078
0.05889420.993548387097	0.548042704626
0.05897370.993548387097	0.55
0.05958270.993548387097	0.551971326165
0.05981190.993548387097	0.553956834532
0.06035150.993548387097	0.5559566787
0.06039740.993548387097	0.557971014493
0.06061350.993548387097	0.56
0.06077480.993548387097	0.56204379562
0.06153860.993548387097	0.564102564103
0.06155170.993548387097	0.566176470588
0.06230850.993548387097	0.568265682657
0.06231130.993548387097	0.57037037037
0.06248860.993548387097	0.57249070632
0.06384130.993548387097	0.574626865672
0.06603960.993548387097	0.576779026217
0.06646250.993548387097	0.578947368421
0.06653570.993548387097	0.581132075472
0.06703040.993548387097	0.583333333333
0.06885720.993548387097	0.585551330798
0.06983390.993548387097	0.587786259542
0.07017690.993548387097	0.590038314176
0.07060040.993548387097	0.592307692308
0.07060860.993548387097	0.594594594595
0.07122090.993548387097	0.596899224806
0.07167370.993548387097	0.599221789883
0.0720120.993548387097	0.6015625
0.07329370.993548387097	0.603921568627
0.07338260.993548387097	0.606299212598
0.07385740.993548387097	0.608695652174
0.07446930.993548387097	0.611111111111
0.07599560.993548387097	0.613545816733
0.07606790.993548387097	0.616
0.07617470.993548387097	0.618473895582
0.07645480.993548387097	0.620967741935
0.0767810.993548387097	0.623481781377
0.07691830.993548387097	0.626016260163
0.07699360.993548387097	0.628571428571
0.07740880.993548387097	0.631147540984
0.07829960.993548387097	0.633744855967
0.07941220.993548387097	0.636363636364
0.08098070.993548387097	0.639004149378
0.08108780.993548387097	0.641666666667
0.08126690.993548387097	0.644351464435
0.08165780.993548387097	0.647058823529
0.08201810.993548387097	0.649789029536
0.08213770.993548387097	0.652542372881
0.08334230.993548387097	0.655319148936
0.08347190.993548387097	0.65811965812
0.08459240.993548387097	0.660944206009
0.08620180.993548387097	0.663793103448
0.08910840.993548387097	0.666666666667
0.08928160.993548387097	0.669565217391
0.0898320.993548387097	0.672489082969
0.09062430.993548387097	0.675438596491
0.09106190.993548387097	0.678414096916
0.09108420.993548387097	0.681415929204
0.09195010.993548387097	0.684444444444
0.09550120.993548387097	0.6875
0.09571840.993548387097	0.690582959641
0.09723290.993548387097	0.693693693694
0.09760160.993548387097	0.696832579186
0.1015430.993548387097	0.7
0.1028190.993548387097	0.703196347032
0.1037390.993548387097	0.706422018349
0.1054740.993548387097	0.709677419355
0.106840.993548387097	0.712962962963
0.1084190.993548387097	0.716279069767
0.1087120.993548387097	0.719626168224
0.1090250.993548387097	0.723004694836
0.1091630.993548387097	0.72641509434
0.1138210.993548387097	0.729857819905
0.1159730.993548387097	0.733333333333
0.1183460.993548387097	0.736842105263
0.1188530.993548387097	0.740384615385
0.1231790.993548387097	0.743961352657
0.1243050.993548387097	0.747572815534
0.1246420.993548387097	0.751219512195
0.1274110.993548387097	0.754901960784
0.1282940.993548387097	0.758620689655
0.1290290.993548387097	0.762376237624
0.1295920.993548387097	0.766169154229
0.1325990.993548387097	0.77
0.1367890.993548387097	0.773869346734
0.1368950.993548387097	0.777777777778
0.141670.993548387097	0.781725888325
0.1474520.993548387097	0.785714285714
0.1477770.993548387097	0.789743589744
0.1550880.993548387097	0.79381443299
0.1552860.993548387097	0.79792746114
0.1593750.993548387097	0.802083333333
0.1641130.993548387097	0.806282722513
0.1652370.987096774194	0.805263157895
0.1733610.987096774194	0.809523809524
0.1739650.987096774194	0.813829787234
0.184310.987096774194	0.818181818182
0.2047280.98064516129	0.817204301075
0.2134480.98064516129	0.821621621622
0.2152150.98064516129	0.826086956522
0.2188760.98064516129	0.830601092896
0.2195270.98064516129	0.835164835165
0.219910.98064516129	0.839779005525
0.2292880.98064516129	0.844444444444
0.2331210.98064516129	0.849162011173
0.2363980.98064516129	0.85393258427
0.2467940.974193548387	0.853107344633
0.2514190.974193548387	0.857954545455
0.2514370.967741935484	0.857142857143
0.2573720.967741935484	0.862068965517
0.2605350.967741935484	0.867052023121
0.2674750.967741935484	0.872093023256
0.2691460.967741935484	0.877192982456
0.2878950.967741935484	0.882352941176
0.3231650.967741935484	0.887573964497
0.3327350.967741935484	0.892857142857
0.3376130.961290322581	0.892215568862
0.3471430.961290322581	0.897590361446
0.3514770.961290322581	0.90303030303
0.3792170.961290322581	0.908536585366
0.4422530.954838709677	0.907975460123
0.4556080.948387096774	0.907407407407
0.4557280.941935483871	0.906832298137
0.4600250.941935483871	0.9125
0.5014840.941935483871	0.918238993711
0.5104310.941935483871	0.924050632911
0.5192960.941935483871	0.929936305732
0.5305470.935483870968	0.929487179487
0.5354230.935483870968	0.935483870968
0.5391270.929032258065	0.935064935065
0.5487580.922580645161	0.934640522876
0.5546990.922580645161	0.940789473684
0.5582960.916129032258	0.940397350993
0.5584050.909677419355	0.94
0.5630520.909677419355	0.946308724832
0.5921790.903225806452	0.945945945946
0.6172630.896774193548	0.945578231293
0.6413840.896774193548	0.952054794521
0.6467330.896774193548	0.958620689655
0.6476430.896774193548	0.965277777778
0.7010540.890322580645	0.965034965035
0.7026950.883870967742	0.964788732394
0.7171610.877419354839	0.964539007092
0.7237520.870967741935	0.964285714286
0.7366460.870967741935	0.971223021583
0.7670360.870967741935	0.978260869565
0.7936010.864516129032	0.978102189781
0.797180.864516129032	0.985294117647
0.7986890.858064516129	0.985185185185
0.8149150.851612903226	0.985074626866
0.8177250.851612903226	0.992481203008
0.8177290.845161290323	0.992424242424
0.820260.838709677419	0.992366412214
0.8341980.832258064516	0.992307692308
0.8445310.825806451613	0.992248062016
0.8460720.81935483871	0.9921875
0.8471540.812903225806	0.992125984252
0.8496010.806451612903	0.992063492063
0.8554650.8	0.992
0.8615520.793548387097	0.991935483871
0.862260.793548387097	1.0
0.8787150.787096774194	1.0
0.8902070.78064516129	1.0
0.8918810.774193548387	1.0
0.8971690.767741935484	1.0
0.9012530.761290322581	1.0
0.9062080.754838709677	1.0
0.9098310.748387096774	1.0
0.9108930.741935483871	1.0
0.9112450.735483870968	1.0
0.9209730.729032258065	1.0
0.9258440.722580645161	1.0
0.9268320.716129032258	1.0
0.9269960.709677419355	1.0
0.9314430.703225806452	1.0
0.9400260.696774193548	1.0
0.9478990.690322580645	1.0
0.9496970.683870967742	1.0
0.9540190.677419354839	1.0
0.9557120.670967741935	1.0
0.9566020.664516129032	1.0
0.9600470.658064516129	1.0
0.9601420.651612903226	1.0
0.9632840.645161290323	1.0
0.9655020.638709677419	1.0
0.9697740.632258064516	1.0
0.971280.625806451613	1.0
0.9753720.61935483871	1.0
0.9756190.612903225806	1.0
0.977650.606451612903	1.0
0.9793240.6	1.0
0.9803270.593548387097	1.0
0.9809560.587096774194	1.0
0.9813250.58064516129	1.0
0.9819180.574193548387	1.0
0.9841770.567741935484	1.0
0.984620.561290322581	1.0
0.9856170.554838709677	1.0
0.9864350.548387096774	1.0
0.9872740.541935483871	1.0
0.9881910.535483870968	1.0
0.990460.529032258065	1.0
0.9912310.522580645161	1.0
0.9916140.516129032258	1.0
0.991630.509677419355	1.0
0.9925080.503225806452	1.0
0.9929220.496774193548	1.0
0.992970.490322580645	1.0
0.9934690.483870967742	1.0
0.9942410.477419354839	1.0
0.9945110.470967741935	1.0
0.9947940.464516129032	1.0
0.9948640.458064516129	1.0
0.9952050.451612903226	1.0
0.9956020.445161290323	1.0
0.9959880.438709677419	1.0
0.9961240.432258064516	1.0
0.9964390.425806451613	1.0
0.9967680.41935483871	1.0
0.9970520.412903225806	1.0
0.9970650.406451612903	1.0
0.