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train_combied_vali_12000.txt
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Evaluation Results test_ppa_pos5028_neg166942 for Cutoff Values
Cutoff: 0.00
TP: 6000, TN: 0
FP: 6000, FN: 0
Accuracy: 0.5000
Precision: 0.5000, Recall: 1.0000
F1-score: 0.6667
Cutoff: 0.05
TP: 6000, TN: 1
FP: 5999, FN: 0
Accuracy: 0.5001
Precision: 0.5000, Recall: 1.0000
F1-score: 0.6667
Cutoff: 0.10
TP: 5999, TN: 25
FP: 5975, FN: 1
Accuracy: 0.5020
Precision: 0.5010, Recall: 0.9998
F1-score: 0.6675
Cutoff: 0.15
TP: 5994, TN: 61
FP: 5939, FN: 6
Accuracy: 0.5046
Precision: 0.5023, Recall: 0.9990
F1-score: 0.6685
Cutoff: 0.20
TP: 5979, TN: 144
FP: 5856, FN: 21
Accuracy: 0.5102
Precision: 0.5052, Recall: 0.9965
F1-score: 0.6705
Cutoff: 0.25
TP: 5963, TN: 299
FP: 5701, FN: 37
Accuracy: 0.5218
Precision: 0.5112, Recall: 0.9938
F1-score: 0.6752
Cutoff: 0.30
TP: 5920, TN: 513
FP: 5487, FN: 80
Accuracy: 0.5361
Precision: 0.5190, Recall: 0.9867
F1-score: 0.6802
Cutoff: 0.35
TP: 5854, TN: 795
FP: 5205, FN: 146
Accuracy: 0.5541
Precision: 0.5293, Recall: 0.9757
F1-score: 0.6863
Cutoff: 0.40
TP: 5765, TN: 1147
FP: 4853, FN: 235
Accuracy: 0.5760
Precision: 0.5429, Recall: 0.9608
F1-score: 0.6938
Cutoff: 0.45
TP: 5658, TN: 1519
FP: 4481, FN: 342
Accuracy: 0.5981
Precision: 0.5580, Recall: 0.9430
F1-score: 0.7012
Cutoff: 0.50
TP: 5527, TN: 1937
FP: 4063, FN: 473
Accuracy: 0.6220
Precision: 0.5763, Recall: 0.9212
F1-score: 0.7090
Cutoff: 0.55
TP: 5365, TN: 2313
FP: 3687, FN: 635
Accuracy: 0.6398
Precision: 0.5927, Recall: 0.8942
F1-score: 0.7129
Cutoff: 0.60
TP: 5186, TN: 2670
FP: 3330, FN: 814
Accuracy: 0.6547
Precision: 0.6090, Recall: 0.8643
F1-score: 0.7145
Cutoff: 0.65
TP: 5005, TN: 3038
FP: 2962, FN: 995
Accuracy: 0.6703
Precision: 0.6282, Recall: 0.8342
F1-score: 0.7167
Cutoff: 0.70
TP: 4795, TN: 3379
FP: 2621, FN: 1205
Accuracy: 0.6812
Precision: 0.6466, Recall: 0.7992
F1-score: 0.7148
Cutoff: 0.75
TP: 4599, TN: 3675
FP: 2325, FN: 1401
Accuracy: 0.6895
Precision: 0.6642, Recall: 0.7665
F1-score: 0.7117
Cutoff: 0.80
TP: 4393, TN: 3953
FP: 2047, FN: 1607
Accuracy: 0.6955
Precision: 0.6821, Recall: 0.7322
F1-score: 0.7063
Cutoff: 0.85
TP: 4202, TN: 4228
FP: 1772, FN: 1798
Accuracy: 0.7025
Precision: 0.7034, Recall: 0.7003
F1-score: 0.7019
Cutoff: 0.90
TP: 4004, TN: 4460
FP: 1540, FN: 1996
Accuracy: 0.7053
Precision: 0.7222, Recall: 0.6673
F1-score: 0.6937
Cutoff: 0.95
TP: 3829, TN: 4643
FP: 1357, FN: 2171
Accuracy: 0.7060
Precision: 0.7383, Recall: 0.6382
F1-score: 0.6846
Cutoff: 1.00
TP: 3647, TN: 4805
FP: 1195, FN: 2353
Accuracy: 0.7043
Precision: 0.7532, Recall: 0.6078
F1-score: 0.6728
Cutoff: 1.05
TP: 3466, TN: 4948
FP: 1052, FN: 2534
Accuracy: 0.7012
Precision: 0.7672, Recall: 0.5777
F1-score: 0.6591
Cutoff: 1.10
TP: 3298, TN: 5062
FP: 938, FN: 2702
Accuracy: 0.6967
Precision: 0.7786, Recall: 0.5497
F1-score: 0.6444
Cutoff: 1.15
TP: 3109, TN: 5171
FP: 829, FN: 2891
Accuracy: 0.6900
Precision: 0.7895, Recall: 0.5182
F1-score: 0.6257
Cutoff: 1.20
TP: 2952, TN: 5266
FP: 734, FN: 3048
Accuracy: 0.6848
Precision: 0.8009, Recall: 0.4920
F1-score: 0.6095
Cutoff: 1.25
TP: 2790, TN: 5356
FP: 644, FN: 3210
Accuracy: 0.6788
Precision: 0.8125, Recall: 0.4650
F1-score: 0.5915
Cutoff: 1.30
TP: 2629, TN: 5429
FP: 571, FN: 3371
Accuracy: 0.6715
Precision: 0.8216, Recall: 0.4382
F1-score: 0.5715
Cutoff: 1.35
TP: 2483, TN: 5496
FP: 504, FN: 3517
Accuracy: 0.6649
Precision: 0.8313, Recall: 0.4138
F1-score: 0.5526
Cutoff: 1.40
TP: 2366, TN: 5560
FP: 440, FN: 3634
Accuracy: 0.6605
Precision: 0.8432, Recall: 0.3943
F1-score: 0.5374
Cutoff: 1.45
TP: 2220, TN: 5620
FP: 380, FN: 3780
Accuracy: 0.6533
Precision: 0.8538, Recall: 0.3700
F1-score: 0.5163
Cutoff: 1.50
TP: 2106, TN: 5660
FP: 340, FN: 3894
Accuracy: 0.6472
Precision: 0.8610, Recall: 0.3510
F1-score: 0.4987
Cutoff: 1.55
TP: 1986, TN: 5693
FP: 307, FN: 4014
Accuracy: 0.6399
Precision: 0.8661, Recall: 0.3310
F1-score: 0.4790
Cutoff: 1.60
TP: 1879, TN: 5721
FP: 279, FN: 4121
Accuracy: 0.6333
Precision: 0.8707, Recall: 0.3132
F1-score: 0.4607
Cutoff: 1.65
TP: 1766, TN: 5746
FP: 254, FN: 4234
Accuracy: 0.6260
Precision: 0.8743, Recall: 0.2943
F1-score: 0.4404
Cutoff: 1.70
TP: 1657, TN: 5778
FP: 222, FN: 4343
Accuracy: 0.6196
Precision: 0.8819, Recall: 0.2762
F1-score: 0.4206
Cutoff: 1.75
TP: 1546, TN: 5797
FP: 203, FN: 4454
Accuracy: 0.6119
Precision: 0.8839, Recall: 0.2577
F1-score: 0.3990
Cutoff: 1.80
TP: 1446, TN: 5813
FP: 187, FN: 4554
Accuracy: 0.6049
Precision: 0.8855, Recall: 0.2410
F1-score: 0.3789
Cutoff: 1.85
TP: 1355, TN: 5835
FP: 165, FN: 4645
Accuracy: 0.5992
Precision: 0.8914, Recall: 0.2258
F1-score: 0.3604
Cutoff: 1.90
TP: 1269, TN: 5855
FP: 145, FN: 4731
Accuracy: 0.5937
Precision: 0.8975, Recall: 0.2115
F1-score: 0.3423
Cutoff: 1.95
TP: 1188, TN: 5875
FP: 125, FN: 4812
Accuracy: 0.5886
Precision: 0.9048, Recall: 0.1980
F1-score: 0.3249
Cutoff: 2.00
TP: 1130, TN: 5888
FP: 112, FN: 4870
Accuracy: 0.5848
Precision: 0.9098, Recall: 0.1883
F1-score: 0.3121
Cutoff: 2.05
TP: 1056, TN: 5893
FP: 107, FN: 4944
Accuracy: 0.5791
Precision: 0.9080, Recall: 0.1760
F1-score: 0.2948
Cutoff: 2.10
TP: 992, TN: 5904
FP: 96, FN: 5008
Accuracy: 0.5747
Precision: 0.9118, Recall: 0.1653
F1-score: 0.2799
Cutoff: 2.15
TP: 923, TN: 5914
FP: 86, FN: 5077
Accuracy: 0.5697
Precision: 0.9148, Recall: 0.1538
F1-score: 0.2634
Cutoff: 2.20
TP: 867, TN: 5922
FP: 78, FN: 5133
Accuracy: 0.5657
Precision: 0.9175, Recall: 0.1445
F1-score: 0.2497
Cutoff: 2.25
TP: 811, TN: 5926
FP: 74, FN: 5189
Accuracy: 0.5614
Precision: 0.9164, Recall: 0.1352
F1-score: 0.2356
Cutoff: 2.30
TP: 767, TN: 5936
FP: 64, FN: 5233
Accuracy: 0.5586
Precision: 0.9230, Recall: 0.1278
F1-score: 0.2246
Cutoff: 2.35
TP: 708, TN: 5943
FP: 57, FN: 5292
Accuracy: 0.5543
Precision: 0.9255, Recall: 0.1180
F1-score: 0.2093
Cutoff: 2.40
TP: 660, TN: 5950
FP: 50, FN: 5340
Accuracy: 0.5508
Precision: 0.9296, Recall: 0.1100
F1-score: 0.1967
Cutoff: 2.45
TP: 602, TN: 5952
FP: 48, FN: 5398
Accuracy: 0.5462
Precision: 0.9262, Recall: 0.1003
F1-score: 0.1811
Cutoff: 2.50
TP: 555, TN: 5958
FP: 42, FN: 5445
Accuracy: 0.5427
Precision: 0.9296, Recall: 0.0925
F1-score: 0.1683
Cutoff: 2.55
TP: 517, TN: 5963
FP: 37, FN: 5483
Accuracy: 0.5400
Precision: 0.9332, Recall: 0.0862
F1-score: 0.1578
Cutoff: 2.60
TP: 482, TN: 5969
FP: 31, FN: 5518
Accuracy: 0.5376
Precision: 0.9396, Recall: 0.0803
F1-score: 0.1480
Cutoff: 2.65
TP: 446, TN: 5970
FP: 30, FN: 5554
Accuracy: 0.5347
Precision: 0.9370, Recall: 0.0743
F1-score: 0.1377
Cutoff: 2.70
TP: 415, TN: 5972
FP: 28, FN: 5585
Accuracy: 0.5323
Precision: 0.9368, Recall: 0.0692
F1-score: 0.1288
Cutoff: 2.75
TP: 386, TN: 5973
FP: 27, FN: 5614
Accuracy: 0.5299
Precision: 0.9346, Recall: 0.0643
F1-score: 0.1204
Cutoff: 2.80
TP: 357, TN: 5975
FP: 25, FN: 5643
Accuracy: 0.5277
Precision: 0.9346, Recall: 0.0595
F1-score: 0.1119
Cutoff: 2.85
TP: 333, TN: 5977
FP: 23, FN: 5667
Accuracy: 0.5258
Precision: 0.9354, Recall: 0.0555
F1-score: 0.1048
Cutoff: 2.90
TP: 309, TN: 5979
FP: 21, FN: 5691
Accuracy: 0.5240
Precision: 0.9364, Recall: 0.0515
F1-score: 0.0976
Cutoff: 2.95
TP: 278, TN: 5980
FP: 20, FN: 5722
Accuracy: 0.5215
Precision: 0.9329, Recall: 0.0463
F1-score: 0.0883
Cutoff: 3.00
TP: 258, TN: 5983
FP: 17, FN: 5742
Accuracy: 0.5201
Precision: 0.9382, Recall: 0.0430
F1-score: 0.0822
Cutoff: 3.05
TP: 239, TN: 5986
FP: 14, FN: 5761
Accuracy: 0.5188
Precision: 0.9447, Recall: 0.0398
F1-score: 0.0764
Cutoff: 3.10
TP: 226, TN: 5986
FP: 14, FN: 5774
Accuracy: 0.5177
Precision: 0.9417, Recall: 0.0377
F1-score: 0.0724
Cutoff: 3.15
TP: 213, TN: 5986
FP: 14, FN: 5787
Accuracy: 0.5166
Precision: 0.9383, Recall: 0.0355
F1-score: 0.0684
Cutoff: 3.20
TP: 207, TN: 5990
FP: 10, FN: 5793
Accuracy: 0.5164
Precision: 0.9539, Recall: 0.0345
F1-score: 0.0666
Cutoff: 3.25
TP: 194, TN: 5991
FP: 9, FN: 5806
Accuracy: 0.5154
Precision: 0.9557, Recall: 0.0323
F1-score: 0.0626
Cutoff: 3.30
TP: 189, TN: 5991
FP: 9, FN: 5811
Accuracy: 0.5150
Precision: 0.9545, Recall: 0.0315
F1-score: 0.0610
Cutoff: 3.35
TP: 175, TN: 5992
FP: 8, FN: 5825
Accuracy: 0.5139
Precision: 0.9563, Recall: 0.0292
F1-score: 0.0566
Cutoff: 3.40
TP: 168, TN: 5993
FP: 7, FN: 5832
Accuracy: 0.5134
Precision: 0.9600, Recall: 0.0280
F1-score: 0.0544
Cutoff: 3.45
TP: 155, TN: 5994
FP: 6, FN: 5845
Accuracy: 0.5124
Precision: 0.9627, Recall: 0.0258
F1-score: 0.0503
Cutoff: 3.50
TP: 145, TN: 5995
FP: 5, FN: 5855
Accuracy: 0.5117
Precision: 0.9667, Recall: 0.0242
F1-score: 0.0472
Cutoff: 3.55
TP: 135, TN: 5996
FP: 4, FN: 5865
Accuracy: 0.5109
Precision: 0.9712, Recall: 0.0225
F1-score: 0.0440
Cutoff: 3.60
TP: 127, TN: 5996
FP: 4, FN: 5873
Accuracy: 0.5102
Precision: 0.9695, Recall: 0.0212
F1-score: 0.0414
Cutoff: 3.65
TP: 121, TN: 5996
FP: 4, FN: 5879
Accuracy: 0.5098
Precision: 0.9680, Recall: 0.0202
F1-score: 0.0395
Cutoff: 3.70
TP: 111, TN: 5996
FP: 4, FN: 5889
Accuracy: 0.5089
Precision: 0.9652, Recall: 0.0185
F1-score: 0.0363
Cutoff: 3.75
TP: 105, TN: 5996
FP: 4, FN: 5895
Accuracy: 0.5084
Precision: 0.9633, Recall: 0.0175
F1-score: 0.0344
Cutoff: 3.80
TP: 96, TN: 5996
FP: 4, FN: 5904
Accuracy: 0.5077
Precision: 0.9600, Recall: 0.0160
F1-score: 0.0315
Cutoff: 3.85
TP: 89, TN: 5996
FP: 4, FN: 5911
Accuracy: 0.5071
Precision: 0.9570, Recall: 0.0148
F1-score: 0.0292
Cutoff: 3.90
TP: 85, TN: 5998
FP: 2, FN: 5915
Accuracy: 0.5069
Precision: 0.9770, Recall: 0.0142
F1-score: 0.0279
Cutoff: 3.95
TP: 78, TN: 5998
FP: 2, FN: 5922
Accuracy: 0.5063
Precision: 0.9750, Recall: 0.0130
F1-score: 0.0257
Cutoff: 4.00
TP: 71, TN: 5998
FP: 2, FN: 5929
Accuracy: 0.5058
Precision: 0.9726, Recall: 0.0118
F1-score: 0.0234
Cutoff: 4.05
TP: 69, TN: 5999
FP: 1, FN: 5931
Accuracy: 0.5057
Precision: 0.9857, Recall: 0.0115
F1-score: 0.0227
Cutoff: 4.10
TP: 66, TN: 5999
FP: 1, FN: 5934
Accuracy: 0.5054
Precision: 0.9851, Recall: 0.0110
F1-score: 0.0218
Cutoff: 4.15
TP: 62, TN: 5999
FP: 1, FN: 5938
Accuracy: 0.5051
Precision: 0.9841, Recall: 0.0103
F1-score: 0.0205
Cutoff: 4.20
TP: 60, TN: 5999
FP: 1, FN: 5940
Accuracy: 0.5049
Precision: 0.9836, Recall: 0.0100
F1-score: 0.0198
Cutoff: 4.25
TP: 52, TN: 5999
FP: 1, FN: 5948
Accuracy: 0.5042
Precision: 0.9811, Recall: 0.0087
F1-score: 0.0172
Cutoff: 4.30
TP: 50, TN: 5999
FP: 1, FN: 5950
Accuracy: 0.5041
Precision: 0.9804, Recall: 0.0083
F1-score: 0.0165
Cutoff: 4.35
TP: 49, TN: 5999
FP: 1, FN: 5951
Accuracy: 0.5040
Precision: 0.9800, Recall: 0.0082
F1-score: 0.0162
Cutoff: 4.40
TP: 42, TN: 5999
FP: 1, FN: 5958
Accuracy: 0.5034
Precision: 0.9767, Recall: 0.0070
F1-score: 0.0139
Cutoff: 4.45
TP: 40, TN: 5999
FP: 1, FN: 5960
Accuracy: 0.5032
Precision: 0.9756, Recall: 0.0067
F1-score: 0.0132
Cutoff: 4.50
TP: 38, TN: 5999
FP: 1, FN: 5962
Accuracy: 0.5031
Precision: 0.9744, Recall: 0.0063
F1-score: 0.0126
Cutoff: 4.55
TP: 35, TN: 5999
FP: 1, FN: 5965
Accuracy: 0.5028
Precision: 0.9722, Recall: 0.0058
F1-score: 0.0116
Cutoff: 4.60
TP: 33, TN: 5999
FP: 1, FN: 5967
Accuracy: 0.5027
Precision: 0.9706, Recall: 0.0055
F1-score: 0.0109
Cutoff: 4.65
TP: 31, TN: 5999
FP: 1, FN: 5969
Accuracy: 0.5025
Precision: 0.9688, Recall: 0.0052
F1-score: 0.0103
Cutoff: 4.70
TP: 28, TN: 5999
FP: 1, FN: 5972
Accuracy: 0.5022
Precision: 0.9655, Recall: 0.0047
F1-score: 0.0093
Cutoff: 4.75
TP: 24, TN: 5999
FP: 1, FN: 5976
Accuracy: 0.5019
Precision: 0.9600, Recall: 0.0040
F1-score: 0.0080
Cutoff: 4.80
TP: 21, TN: 5999
FP: 1, FN: 5979
Accuracy: 0.5017
Precision: 0.9545, Recall: 0.0035
F1-score: 0.0070
Cutoff: 4.85
TP: 18, TN: 5999
FP: 1, FN: 5982
Accuracy: 0.5014
Precision: 0.9474, Recall: 0.0030
F1-score: 0.0060
Cutoff: 4.90
TP: 18, TN: 5999
FP: 1, FN: 5982
Accuracy: 0.5014
Precision: 0.9474, Recall: 0.0030
F1-score: 0.0060
Cutoff: 4.95
TP: 17, TN: 5999
FP: 1, FN: 5983
Accuracy: 0.5013
Precision: 0.9444, Recall: 0.0028
F1-score: 0.0056
Cutoff: 5.00
TP: 16, TN: 5999
FP: 1, FN: 5984
Accuracy: 0.5012
Precision: 0.9412, Recall: 0.0027
F1-score: 0.0053
Cutoff: 5.05
TP: 16, TN: 5999
FP: 1, FN: 5984
Accuracy: 0.5012
Precision: 0.9412, Recall: 0.0027
F1-score: 0.0053
Cutoff: 5.10
TP: 16, TN: 5999
FP: 1, FN: 5984
Accuracy: 0.5012
Precision: 0.9412, Recall: 0.0027
F1-score: 0.0053
Cutoff: 5.15
TP: 15, TN: 6000
FP: 0, FN: 5985
Accuracy: 0.5012
Precision: 1.0000, Recall: 0.0025
F1-score: 0.0050
Cutoff: 5.20
TP: 13, TN: 6000
FP: 0, FN: 5987
Accuracy: 0.5011
Precision: 1.0000, Recall: 0.0022
F1-score: 0.0043
Cutoff: 5.25
TP: 13, TN: 6000
FP: 0, FN: 5987
Accuracy: 0.5011
Precision: 1.0000, Recall: 0.0022
F1-score: 0.0043
Cutoff: 5.30
TP: 13, TN: 6000
FP: 0, FN: 5987
Accuracy: 0.5011
Precision: 1.0000, Recall: 0.0022
F1-score: 0.0043
Cutoff: 5.35
TP: 12, TN: 6000
FP: 0, FN: 5988
Accuracy: 0.5010
Precision: 1.0000, Recall: 0.0020
F1-score: 0.0040
Cutoff: 5.40
TP: 11, TN: 6000
FP: 0, FN: 5989
Accuracy: 0.5009
Precision: 1.0000, Recall: 0.0018
F1-score: 0.0037
Cutoff: 5.45
TP: 10, TN: 6000
FP: 0, FN: 5990
Accuracy: 0.5008
Precision: 1.0000, Recall: 0.0017
F1-score: 0.0033
Cutoff: 5.50
TP: 10, TN: 6000
FP: 0, FN: 5990
Accuracy: 0.5008
Precision: 1.0000, Recall: 0.0017
F1-score: 0.0033
Cutoff: 5.55
TP: 9, TN: 6000
FP: 0, FN: 5991
Accuracy: 0.5008
Precision: 1.0000, Recall: 0.0015
F1-score: 0.0030
Cutoff: 5.60
TP: 7, TN: 6000
FP: 0, FN: 5993
Accuracy: 0.5006
Precision: 1.0000, Recall: 0.0012
F1-score: 0.0023
Cutoff: 5.65
TP: 7, TN: 6000
FP: 0, FN: 5993
Accuracy: 0.5006
Precision: 1.0000, Recall: 0.0012
F1-score: 0.0023
Cutoff: 5.70
TP: 6, TN: 6000
FP: 0, FN: 5994
Accuracy: 0.5005
Precision: 1.0000, Recall: 0.0010
F1-score: 0.0020
Cutoff: 5.75
TP: 6, TN: 6000
FP: 0, FN: 5994
Accuracy: 0.5005
Precision: 1.0000, Recall: 0.0010
F1-score: 0.0020
Cutoff: 5.80
TP: 5, TN: 6000
FP: 0, FN: 5995
Accuracy: 0.5004
Precision: 1.0000, Recall: 0.0008
F1-score: 0.0017
Cutoff: 5.85
TP: 5, TN: 6000
FP: 0, FN: 5995
Accuracy: 0.5004
Precision: 1.0000, Recall: 0.0008
F1-score: 0.0017
Cutoff: 5.90
TP: 5, TN: 6000
FP: 0, FN: 5995
Accuracy: 0.5004
Precision: 1.0000, Recall: 0.0008
F1-score: 0.0017
Cutoff: 5.95
TP: 5, TN: 6000
FP: 0, FN: 5995
Accuracy: 0.5004
Precision: 1.0000, Recall: 0.0008
F1-score: 0.0017
Cutoff: 6.00
TP: 4, TN: 6000
FP: 0, FN: 5996
Accuracy: 0.5003
Precision: 1.0000, Recall: 0.0007
F1-score: 0.0013
Cutoff: 6.05
TP: 4, TN: 6000
FP: 0, FN: 5996
Accuracy: 0.5003
Precision: 1.0000, Recall: 0.0007
F1-score: 0.0013
Cutoff: 6.10
TP: 3, TN: 6000
FP: 0, FN: 5997
Accuracy: 0.5002
Precision: 1.0000, Recall: 0.0005
F1-score: 0.0010
Cutoff: 6.15
TP: 2, TN: 6000
FP: 0, FN: 5998
Accuracy: 0.5002
Precision: 1.0000, Recall: 0.0003
F1-score: 0.0007
Cutoff: 6.20
TP: 2, TN: 6000
FP: 0, FN: 5998
Accuracy: 0.5002
Precision: 1.0000, Recall: 0.0003
F1-score: 0.0007
Cutoff: 6.25
TP: 2, TN: 6000
FP: 0, FN: 5998
Accuracy: 0.5002
Precision: 1.0000, Recall: 0.0003
F1-score: 0.0007
Cutoff: 6.30
TP: 2, TN: 6000
FP: 0, FN: 5998
Accuracy: 0.5002
Precision: 1.0000, Recall: 0.0003
F1-score: 0.0007
Cutoff: 6.35
TP: 2, TN: 6000
FP: 0, FN: 5998
Accuracy: 0.5002
Precision: 1.0000, Recall: 0.0003
F1-score: 0.0007
Cutoff: 6.40
TP: 2, TN: 6000
FP: 0, FN: 5998
Accuracy: 0.5002
Precision: 1.0000, Recall: 0.0003
F1-score: 0.0007
Cutoff: 6.45
TP: 2, TN: 6000
FP: 0, FN: 5998
Accuracy: 0.5002
Precision: 1.0000, Recall: 0.0003
F1-score: 0.0007
Cutoff: 6.50
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.55
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.60
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.65
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.70
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.75
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.80
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.85
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.90
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 6.95
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 7.00
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 7.05
TP: 1, TN: 6000
FP: 0, FN: 5999
Accuracy: 0.5001
Precision: 1.0000, Recall: 0.0002
F1-score: 0.0003
Cutoff: 7.10
TP: 0, TN: 6000
FP: 0, FN: 6000
Accuracy: 0.5000