SniperGold_ML/ml/p3/baseline/output/p3_s18_predictions_mlp.csv

1	setup_id	split	outcome	y	pred_mlp16
2	2	train	LOSS	0	0.2359528932337032
3	3	train	LOSS	0	0.48232789640555557
4	4	train	LOSS	0	0.09552451854942844
5	5	train	LOSS	0	0.10233564998712542
6	6	train	LOSS	0	0.21194778067991565
7	7	train	WIN	1	0.2738367849916126
8	9	train	LOSS	0	0.23263721115701383
9	11	train	LOSS	0	0.1885665518486508
10	12	train	LOSS	0	0.1605406462401819
11	13	train	WIN	1	0.4946384224444215
12	14	train	LOSS	0	0.36222374856267325
13	15	train	LOSS	0	0.32870029766177605
14	16	train	LOSS	0	0.4160708181377871
15	17	train	WIN	1	0.5216554914137225
16	18	train	LOSS	0	0.2417451320250112
17	19	train	LOSS	0	0.1354618151870472
18	20	train	LOSS	0	0.37491646542827645
19	21	train	WIN	1	0.3959697422792498
20	22	train	LOSS	0	0.12847855119736126
21	23	train	LOSS	0	0.40776166009567105
22	24	train	LOSS	0	0.18845298522634668
23	25	train	LOSS	0	0.32322670478803334
24	26	train	LOSS	0	0.6720868344702228
25	27	train	LOSS	0	0.44224805337353923
26	28	train	WIN	1	0.6306192294233369
27	29	train	LOSS	0	0.2830220629778363
28	30	train	LOSS	0	0.3099453935348316
29	31	train	LOSS	0	0.37950728941878137
30	32	train	LOSS	0	0.1557134599348437
31	33	train	LOSS	0	0.28285379137344724
32	34	train	LOSS	0	0.21175680854178675
33	35	train	WIN	1	0.3470075497739354
34	36	train	WIN	1	0.17805762350929416
35	37	train	LOSS	0	0.3163307127421597
36	38	train	LOSS	0	0.6044307371352634
37	40	train	LOSS	0	0.45038256382033953
38	41	train	LOSS	0	0.003521623293156251
39	42	train	LOSS	0	0.31204514534012806
40	43	train	WIN	1	0.5643772013736356
41	45	train	WIN	1	0.3172680010032827
42	46	train	LOSS	0	0.2494619762244211
43	47	train	WIN	1	0.6475551987157755
44	48	train	LOSS	0	0.06540310043227943
45	49	train	LOSS	0	0.3768409219435836
46	51	train	LOSS	0	0.003874641929895029
47	52	train	WIN	1	0.27487270945069975
48	54	train	LOSS	0	0.2290698621822576
49	55	train	WIN	1	0.16172205844889564
50	56	train	LOSS	0	0.16596621236862116
51	57	train	LOSS	0	0.14081492307211058
52	58	train	LOSS	0	0.16796642117995383
53	59	train	LOSS	0	0.4207075589422523
54	60	train	LOSS	0	0.04469891556619453
55	61	train	LOSS	0	0.04382362706289958
56	62	train	WIN	1	0.6021714599860432
57	63	train	LOSS	0	0.031142622625593072
58	65	train	LOSS	0	0.7469043369495891
59	66	train	WIN	1	0.7549262794487044
60	67	train	WIN	1	0.24179206948876147
61	68	train	WIN	1	0.5659373607016783
62	69	train	LOSS	0	0.02257457148386001
63	70	train	WIN	1	0.31739722566747586
64	71	train	WIN	1	0.45440240379806834
65	72	train	LOSS	0	0.1804595649319022
66	74	train	LOSS	0	0.39979744613808627
67	75	train	LOSS	0	0.033509796941537065
68	76	train	LOSS	0	0.468695071052576
69	77	train	LOSS	0	0.19236121158880307
70	78	train	LOSS	0	0.2800073280382569
71	80	train	LOSS	0	0.08449940213519108
72	81	train	LOSS	0	0.1115192649198707
73	82	train	LOSS	0	0.22249258143196873
74	84	train	LOSS	0	0.512004983598764
75	85	train	LOSS	0	0.17942085943403152
76	86	train	LOSS	0	0.8384011778364022
77	87	train	LOSS	0	0.4596135023509757
78	88	train	LOSS	0	0.09754094202771674
79	90	train	WIN	1	0.4113102954583369
80	91	train	WIN	1	0.5972276822128987
81	92	train	LOSS	0	0.22409489974323052
82	93	train	WIN	1	0.4473827222570198
83	94	train	LOSS	0	0.3320800887855888
84	95	train	LOSS	0	0.2531458881414468
85	96	train	WIN	1	0.8171360488487827
86	97	train	LOSS	0	0.1910471984073958
87	98	train	WIN	1	0.3723365496787318
88	99	train	LOSS	0	0.011884284444496872
89	100	train	WIN	1	0.3781088886069744
90	102	train	LOSS	0	0.05786627308520807
91	103	train	WIN	1	0.2132901407517367
92	104	train	LOSS	0	0.05335945013036031
93	105	train	LOSS	0	0.1421762588596988
94	106	train	LOSS	0	0.026102668741109565
95	107	train	LOSS	0	0.08697427972989753
96	108	train	WIN	1	0.41835216777568435
97	109	train	LOSS	0	0.5116384002549791
98	110	train	LOSS	0	0.060552648715610655
99	111	train	WIN	1	0.5416723281553841
100	113	train	WIN	1	0.5942487106142006
101	114	train	LOSS	0	0.1958900569477604
102	116	train	LOSS	0	0.3203024134000389
103	117	train	WIN	1	0.6742620968609812
104	118	train	LOSS	0	0.43272581679705346
105	119	train	LOSS	0	0.03235092023684772
106	120	train	LOSS	0	0.16374923582744744
107	121	train	LOSS	0	0.4596475801820877
108	122	train	WIN	1	0.4369621693822736
109	123	train	WIN	1	0.5808734508096691
110	124	train	LOSS	0	0.09749904605928707
111	125	train	LOSS	0	0.07580683488332078
112	127	train	WIN	1	0.4911845893794851
113	128	train	WIN	1	0.42403583763001584
114	129	train	WIN	1	0.3908170400383319
115	130	train	WIN	1	0.538383985997169
116	131	train	LOSS	0	0.21934451023413856
117	132	train	LOSS	0	0.17911725280861726
118	133	train	LOSS	0	0.2793437453720213
119	135	train	LOSS	0	0.24914607780355413
120	138	train	WIN	1	0.23738449561859357
121	139	train	LOSS	0	0.2325869928057583
122	140	train	WIN	1	0.404705179752813
123	142	train	LOSS	0	0.07085544074052637
124	143	train	LOSS	0	0.5103261001986783
125	144	train	LOSS	0	0.25930958904732493
126	145	train	LOSS	0	0.13892549269961096
127	146	train	WIN	1	0.3336642552788304
128	147	train	WIN	1	0.7536543601977618
129	148	train	WIN	1	0.29894261089088336
130	150	train	WIN	1	0.3677924301267102
131	151	train	LOSS	0	0.21459075835574562
132	152	train	LOSS	0	0.017423079008782167
133	153	train	LOSS	0	0.11182588568572398
134	154	train	LOSS	0	0.7094534625886731
135	155	train	WIN	1	0.7095020948004842
136	157	train	LOSS	0	0.31538358100683755
137	158	train	WIN	1	0.683952581279174
138	159	train	LOSS	0	0.27033904917029106
139	161	train	WIN	1	0.747394458355411
140	162	train	LOSS	0	0.06992255869951909
141	164	train	LOSS	0	0.06296090151785717
142	165	train	WIN	1	0.44873908858255646
143	166	train	LOSS	0	0.014600290869277485
144	167	train	LOSS	0	0.1722694501798727
145	168	train	LOSS	0	0.2704503004667088
146	169	train	LOSS	0	0.23663876347260243
147	170	train	WIN	1	0.5166438184691448
148	171	train	LOSS	0	0.27619628240963595
149	172	train	LOSS	0	0.027678665984753895
150	174	train	LOSS	0	0.30233142502354676
151	175	train	LOSS	0	0.10830693343833539
152	176	train	WIN	1	0.36159496731520685
153	177	train	LOSS	0	0.5287137902941431
154	178	train	LOSS	0	0.27825989825671227
155	179	train	LOSS	0	0.058387035524298664
156	180	train	LOSS	0	0.44119469927320515
157	182	train	WIN	1	0.7934796588096789
158	183	train	LOSS	0	0.16618203534739828
159	184	train	WIN	1	0.15169397090329337
160	186	train	WIN	1	0.4545597077169216
161	187	train	WIN	1	0.38572889685303274
162	189	train	LOSS	0	0.210640344381767
163	190	train	LOSS	0	0.1867233258984336
164	191	train	WIN	1	0.8214203123705881
165	193	train	LOSS	0	0.059994446507259776
166	194	train	LOSS	0	0.5370898152416683
167	195	train	LOSS	0	0.33591727444586456
168	196	train	LOSS	0	0.3874939501975538
169	197	train	LOSS	0	0.28851042926302906
170	199	train	LOSS	0	0.19503747030780627
171	200	train	LOSS	0	0.140055836026963
172	201	train	LOSS	0	0.0936493261559391
173	203	train	WIN	1	0.7681885043134097
174	204	train	LOSS	0	0.1438286835035362
175	205	train	WIN	1	0.6591907835507718
176	206	train	LOSS	0	0.4692475189794078
177	207	train	LOSS	0	0.2009772772151036
178	208	train	LOSS	0	0.2453756805472457
179	209	train	LOSS	0	0.1888224221829656
180	210	train	LOSS	0	0.16567292720526142
181	211	train	WIN	1	0.5118821671213807
182	212	train	WIN	1	0.31024570689767883
183	213	train	LOSS	0	0.09018928994257577
184	214	train	LOSS	0	0.019095923355178592
185	216	train	LOSS	0	0.5487751020448512
186	217	train	LOSS	0	0.32866000236605075
187	219	train	WIN	1	0.43758256524923844
188	221	train	LOSS	0	0.1788248273891361
189	222	train	LOSS	0	0.3873037888641286
190	223	train	LOSS	0	0.4401428271270866
191	224	train	LOSS	0	0.240557483142907
192	225	train	WIN	1	0.5738266404466883
193	226	train	WIN	1	0.2714019775265663
194	227	train	LOSS	0	0.10117308295658094
195	228	train	LOSS	0	0.3800152269152101
196	229	train	LOSS	0	0.0911022930073558
197	230	train	LOSS	0	0.34686205376049317
198	232	train	LOSS	0	0.18553221149294574
199	234	train	LOSS	0	0.04222068537690204
200	235	train	LOSS	0	0.2744554804577096
201	236	train	LOSS	0	0.20996951517087134
202	237	train	LOSS	0	0.6073822606667886
203	238	train	LOSS	0	0.336850468281755
204	239	train	WIN	1	0.1897815294127056
205	240	train	LOSS	0	0.29658258548808475
206	241	train	LOSS	0	0.1415713129758754
207	242	train	WIN	1	0.45625444732996595
208	243	train	LOSS	0	0.14735804147008358
209	245	train	LOSS	0	0.031206447183920214
210	246	train	LOSS	0	0.07874964907504782
211	247	train	LOSS	0	0.16233713091413798
212	249	train	LOSS	0	0.13004236094674124
213	250	train	LOSS	0	0.7507426976106812
214	251	train	LOSS	0	0.11720607421271181
215	252	train	LOSS	0	0.2323351323014044
216	253	train	WIN	1	0.6143595920468583
217	254	train	LOSS	0	0.012237273175539723
218	256	train	WIN	1	0.29601492922779643
219	257	train	LOSS	0	0.42124351970680934
220	258	train	WIN	1	0.16946164171380035
221	259	train	LOSS	0	0.34439900233623105
222	260	train	LOSS	0	0.22674915165291493
223	261	train	WIN	1	0.30075943078519535
224	262	train	LOSS	0	0.19201892589910632
225	263	train	LOSS	0	0.15025065171594265
226	264	train	WIN	1	0.15192280750678333
227	266	train	LOSS	0	0.30581909245952954
228	267	train	WIN	1	0.3229664261448879
229	269	train	LOSS	0	0.17217700661348517
230	270	train	WIN	1	0.4836330722239184
231	271	train	WIN	1	0.1921985979857882
232	272	train	LOSS	0	0.3463291467700374
233	273	train	WIN	1	0.5826033844191175
234	274	train	LOSS	0	0.5411317251945993
235	275	train	WIN	1	0.571753139991715
236	277	train	LOSS	0	0.021963198471619438
237	278	train	WIN	1	0.4012411021827827
238	279	train	LOSS	0	0.2275961206327283
239	280	train	LOSS	0	0.06473443856110812
240	281	train	LOSS	0	0.08066136866555762
241	283	train	WIN	1	0.5742100286133327
242	284	train	LOSS	0	0.3222239009910966
243	286	train	LOSS	0	0.10509792378846372
244	287	train	LOSS	0	0.08068353465739853
245	288	train	WIN	1	0.39848369259192296
246	290	train	WIN	1	0.4971117825638618
247	291	train	LOSS	0	0.33606646184218913
248	292	train	LOSS	0	0.061901949943515354
249	293	train	LOSS	0	0.2390372595852819
250	294	train	LOSS	0	0.4142862351006835
251	295	train	LOSS	0	0.38642367992964954
252	297	train	LOSS	0	0.1265907745897422
253	298	train	LOSS	0	0.07364109398525537
254	299	train	LOSS	0	0.10696255413055633
255	300	train	LOSS	0	0.04001189828027528
256	301	train	LOSS	0	0.034718659813360885
257	302	train	WIN	1	0.6045669788328462
258	303	train	LOSS	0	0.3161910134195021
259	304	train	WIN	1	0.44173794114820514
260	305	train	LOSS	0	0.15474301488748457
261	306	train	LOSS	0	0.21168603472200043
262	307	train	LOSS	0	0.2679674890006906
263	308	train	LOSS	0	0.14809583766831544
264	309	train	LOSS	0	0.16607381901704216
265	312	train	LOSS	0	0.056122075784451386
266	313	train	WIN	1	0.4702692828252172
267	314	train	WIN	1	0.6330912863559417
268	315	train	LOSS	0	0.16612722149753972
269	317	train	WIN	1	0.12569483210248536
270	318	train	WIN	1	0.4376690486745156
271	321	train	WIN	1	0.8584926634596998
272	322	train	WIN	1	0.6900416681504403
273	323	train	WIN	1	0.16526583235283462
274	324	train	LOSS	0	0.11223373422281582
275	325	train	LOSS	0	0.19475904648896103
276	326	train	WIN	1	0.6032229106304228
277	328	train	LOSS	0	0.16089871780984055
278	329	train	LOSS	0	0.293243596973851
279	330	train	LOSS	0	0.03658322520552711
280	331	train	WIN	1	0.9213377892255122
281	333	train	LOSS	0	0.15315277091301538
282	334	train	WIN	1	0.30312108553413186
283	337	train	LOSS	0	0.071039321554026
284	338	train	LOSS	0	0.04166612172676996
285	339	train	LOSS	0	0.36443841883273914
286	340	train	LOSS	0	0.04065065609090678
287	341	train	LOSS	0	0.10104150701995056
288	342	train	LOSS	0	0.3844333434373284
289	343	train	WIN	1	0.48514517974731886
290	344	train	LOSS	0	0.11447299594264775
291	345	train	WIN	1	0.38812811597038904
292	346	train	LOSS	0	0.3065222347078316
293	347	train	LOSS	0	0.11790165175031778
294	348	train	WIN	1	0.6404454377417138
295	349	train	LOSS	0	0.20277344545342196
296	351	train	WIN	1	0.3594402994621756
297	352	train	LOSS	0	0.40356707513109336
298	353	train	LOSS	0	0.40195537341061083
299	354	train	WIN	1	0.19527969638264944
300	355	train	LOSS	0	0.09886176299869755
301	356	train	WIN	1	0.42735243568752124
302	357	train	WIN	1	0.4120301744015147
303	359	train	LOSS	0	0.522321991973747
304	362	train	LOSS	0	0.36267845369422375
305	363	train	LOSS	0	0.36954950129524095
306	365	train	WIN	1	0.4617255547557407
307	366	train	LOSS	0	0.29038475965720634
308	367	train	LOSS	0	0.01626837564861284
309	368	train	LOSS	0	0.4446607533516085
310	369	train	LOSS	0	0.28105925987409414
311	370	train	WIN	1	0.5944251427047342
312	371	train	LOSS	0	0.4069562719585373
313	373	train	WIN	1	0.6666017700261991
314	375	train	LOSS	0	0.41557986554710874
315	376	train	WIN	1	0.3919131654403066
316	378	train	LOSS	0	0.13101182734591366
317	380	train	LOSS	0	0.27097903790231054
318	381	train	LOSS	0	0.27690930262243857
319	382	train	WIN	1	0.8945344948828193
320	383	train	LOSS	0	0.019145338489016263
321	384	train	WIN	1	0.21084392359232088
322	385	train	LOSS	0	0.1931405596031827
323	387	train	LOSS	0	0.32926090740954733
324	388	train	LOSS	0	0.08608394358544874
325	390	train	LOSS	0	0.04606202887537993
326	391	train	WIN	1	0.5682457110009218
327	392	train	LOSS	0	0.17514217724431305
328	393	train	LOSS	0	0.23211192056840146
329	394	train	LOSS	0	0.21413624850291296
330	395	train	LOSS	0	0.12481534682009492
331	396	train	LOSS	0	0.007354587619286557
332	397	train	LOSS	0	0.1699689247594369
333	398	train	LOSS	0	0.22640092818529198
334	399	train	LOSS	0	0.0813074586077224
335	400	train	LOSS	0	0.12591904909012894
336	401	train	LOSS	0	0.23128045142933523
337	402	train	LOSS	0	0.15373876410160603
338	403	train	LOSS	0	0.40972831529632125
339	404	train	LOSS	0	0.3457624711109626
340	405	train	WIN	1	0.2226833697951445
341	406	train	WIN	1	0.5112362382947294
342	407	train	LOSS	0	0.36883442638845493
343	408	train	LOSS	0	0.03848004698598002
344	409	train	LOSS	0	0.21671563542816827
345	410	val	LOSS	0	0.02383355387530363
346	411	val	LOSS	0	0.22249454516501713
347	412	val	LOSS	0	0.03327107445781775
348	413	val	LOSS	0	0.309986832427899
349	414	val	LOSS	0	0.2136957071958932
350	415	val	LOSS	0	0.4522118914659357
351	416	val	LOSS	0	0.39255766131402353
352	417	val	LOSS	0	0.18492837016761404
353	418	val	LOSS	0	0.34005259437307533
354	419	val	WIN	1	0.26361111899974365
355	420	val	LOSS	0	0.22418319940985376
356	422	val	LOSS	0	0.3575981589358087
357	423	val	LOSS	0	0.3951948428777284
358	424	val	WIN	1	0.06942194600549506
359	425	val	LOSS	0	0.6023870591979291
360	426	val	LOSS	0	0.24822062057407424
361	427	val	WIN	1	0.08578568938936923
362	428	val	WIN	1	0.15897239052381232
363	429	val	LOSS	0	0.18523918356874203
364	431	val	WIN	1	0.3273683871622844
365	432	val	WIN	1	0.6472165986063577
366	433	val	LOSS	0	0.43359686380687074
367	434	val	WIN	1	0.6069493071449056
368	435	val	LOSS	0	0.02384369956783835
369	436	val	WIN	1	0.005983967891356176
370	437	val	LOSS	0	0.6201007455863806
371	438	val	LOSS	0	0.22280911437069842
372	439	val	LOSS	0	0.5629118989197486
373	440	val	LOSS	0	0.0540357001692306
374	442	val	LOSS	0	0.2723706675687802
375	444	val	LOSS	0	0.32892034829311345
376	445	val	LOSS	0	0.502608355712775
377	446	val	WIN	1	0.1771803744408274
378	447	val	LOSS	0	0.7053638209346617
379	448	val	LOSS	0	0.23261969853983122
380	449	val	LOSS	0	0.2963744582460823
381	450	val	WIN	1	0.40648670513012714
382	451	val	WIN	1	0.15818212367436266
383	452	val	LOSS	0	0.1746167940623439
384	454	val	LOSS	0	0.44801912842628855
385	455	val	LOSS	0	0.011010561872519767
386	456	val	LOSS	0	0.13586501973384796
387	457	val	LOSS	0	0.4171610728894987
388	458	val	LOSS	0	0.12075290817999046
389	459	val	LOSS	0	0.23712337928648794
390	461	val	WIN	1	0.22180476033683594
391	463	val	WIN	1	0.1753734440774851
392	464	val	WIN	1	0.06317227368624669
393	465	val	WIN	1	0.37238305737639577
394	467	val	LOSS	0	0.34778129192438156
395	469	val	LOSS	0	0.6086997867385332
396	470	val	LOSS	0	0.5235116237525209
397	472	val	WIN	1	0.011928686157503442
398	473	val	LOSS	0	0.44206260140194503
399	474	val	LOSS	0	0.5729698168137491
400	476	val	WIN	1	0.3043250702708442
401	477	val	LOSS	0	0.6728066116536692
402	478	val	LOSS	0	0.3585500316854591
403	479	val	LOSS	0	0.19353238907350115
404	480	val	WIN	1	0.2775176182000692
405	481	val	WIN	1	0.30765041229029255
406	482	val	WIN	1	0.18068780310955426
407	486	val	LOSS	0	0.19197465333790542
408	490	val	LOSS	0	0.08212641096852161
409	491	val	LOSS	0	0.38208093103461716
410	492	val	LOSS	0	0.06455549727589506
411	493	val	WIN	1	0.4520598153588649
412	494	val	WIN	1	0.0604310319735785
413	495	val	LOSS	0	0.22234302439932696
414	496	val	LOSS	0	0.56008474482141
415	497	val	LOSS	0	0.44147274486307664
416	499	val	WIN	1	0.3153251017345928
417	500	val	LOSS	0	0.1366061383918183
418	502	val	WIN	1	0.6736063533517268
419	503	val	LOSS	0	0.7374165577152076
420	504	val	LOSS	0	0.34010218035830686
421	505	val	LOSS	0	0.3754033548936581
422	506	val	LOSS	0	0.6651422846888146
423	507	val	LOSS	0	0.4835572662478791
424	508	val	LOSS	0	0.04749731956252653
425	509	val	LOSS	0	0.31124659226479096
426	510	val	WIN	1	0.22078936049275003
427	511	val	LOSS	0	0.20469058761299153
428	512	val	LOSS	0	0.22627710143904578
429	513	val	LOSS	0	0.6575909104262511
430	514	val	LOSS	0	0.166191140795139
431	515	val	LOSS	0	0.2270068058823556
432	516	val	LOSS	0	0.5883027410666257
433	517	val	LOSS	0	0.08876009935875216
434	518	val	LOSS	0	0.37931337048442326
435	520	val	LOSS	0	0.021044558746152686
436	521	val	LOSS	0	0.7856959104578698
437	522	val	LOSS	0	0.27905356869190906
438	523	val	LOSS	0	0.2954853930467153
439	525	val	LOSS	0	0.7495796768142264
440	526	val	LOSS	0	0.8710423514191292
441	527	val	LOSS	0	0.34432675149985487
442	528	val	LOSS	0	0.3925582549525118
443	529	val	LOSS	0	0.10983872338632888
444	530	val	LOSS	0	0.25658194889485847
445	532	val	LOSS	0	0.22326719953645496
446	533	val	LOSS	0	0.19912318230951664
447	534	val	LOSS	0	0.28607277588392316
448	535	val	LOSS	0	0.1952381981031899
449	536	val	WIN	1	0.16299858492024544
450	537	val	LOSS	0	0.4438005255548976
451	538	val	WIN	1	0.15754292624533148
452	540	val	WIN	1	0.3664954316328832
453	541	val	WIN	1	0.2865669071846969
454	542	val	LOSS	0	0.2170704289558835
455	544	val	LOSS	0	0.2449974345173753
456	545	val	WIN	1	0.20255401274220872
457	546	val	LOSS	0	0.02089328302305437
458	547	test	LOSS	0	0.10131277005318874
459	548	test	WIN	1	0.06564913866624256
460	549	test	LOSS	0	0.09277355514552275
461	551	test	LOSS	0	0.3124445635691659
462	552	test	LOSS	0	0.4290401311780026
463	553	test	LOSS	0	0.5140645480993622
464	554	test	LOSS	0	0.2914829269674327
465	555	test	LOSS	0	0.48830316529969137
466	556	test	WIN	1	0.8032334192888921
467	557	test	LOSS	0	0.46904540493791996
468	559	test	LOSS	0	0.4321516318331553
469	560	test	WIN	1	0.6377070157109044
470	561	test	LOSS	0	0.6001288152837518
471	562	test	LOSS	0	0.7143953876071221
472	564	test	LOSS	0	0.16844075468758646
473	565	test	LOSS	0	0.4915307332960317
474	567	test	LOSS	0	0.5778279206917513
475	569	test	LOSS	0	0.17865993075258568
476	570	test	LOSS	0	0.21489678703978587
477	571	test	WIN	1	0.6379064380656568
478	573	test	LOSS	0	0.05349272600306133
479	574	test	LOSS	0	0.05605202998615674
480	575	test	WIN	1	0.8787065700874398
481	577	test	LOSS	0	0.56823286518813
482	578	test	LOSS	0	0.6096353522327772
483	580	test	WIN	1	0.7071786823563909
484	581	test	WIN	1	0.8667743165981547
485	582	test	LOSS	0	0.837229967217147
486	583	test	LOSS	0	0.26764027280029473
487	584	test	LOSS	0	0.5661857319169462
488	585	test	LOSS	0	0.8702604319506079
489	586	test	LOSS	0	0.8584435485136485
490	587	test	WIN	1	0.5303772661584829
491	588	test	LOSS	0	0.5904193021868435
492	589	test	LOSS	0	0.3222394907088258
493	591	test	LOSS	0	0.4733977898967813
494	593	test	LOSS	0	0.025228992823848686
495	594	test	WIN	1	0.5102426098514927
496	595	test	WIN	1	0.5525862465914477
497	596	test	WIN	1	0.14426770427147798
498	597	test	LOSS	0	0.22923891807701624
499	599	test	LOSS	0	0.17707481826271002
500	600	test	LOSS	0	0.02770211052578409
501	601	test	LOSS	0	0.10629776582377233
502	602	test	LOSS	0	0.4345434791939552
503	603	test	LOSS	0	0.07904629802260534
504	604	test	LOSS	0	0.41008569448743964
505	605	test	LOSS	0	0.4457150216318819
506	608	test	LOSS	0	0.3065800872363191
507	609	test	LOSS	0	0.29508568905831994
508	611	test	LOSS	0	0.6078501053244575
509	613	test	LOSS	0	0.1705975004423873
510	614	test	LOSS	0	0.29346167437935256
511	616	test	LOSS	0	0.1166086846790458
512	617	test	LOSS	0	0.14981704836054083
513	618	test	LOSS	0	0.41738571576032285
514	619	test	LOSS	0	0.16692088373547742
515	620	test	LOSS	0	0.3573187574109717
516	621	test	LOSS	0	0.252692043833558
517	622	test	LOSS	0	0.40241501079991704
518	623	test	WIN	1	0.07493785267315572
519	625	test	WIN	1	0.4214544279631396
520	626	test	WIN	1	0.4442946310894681
521	628	test	LOSS	0	0.5542059222746565
522	630	test	WIN	1	0.5019672310117917
523	631	test	WIN	1	0.08288337546727842
524	632	test	WIN	1	0.23788399232382498
525	633	test	WIN	1	0.7867176339923577
526	634	test	LOSS	0	0.9478453717599493
527	635	test	WIN	1	0.8669129638865516
528	636	test	LOSS	0	0.9107194476543968
529	637	test	LOSS	0	0.7779382199626537
530	639	test	LOSS	0	0.8112993737140464
531	640	test	LOSS	0	0.9721152256394622
532	641	test	WIN	1	0.8418998334777409
533	642	test	LOSS	0	0.04508398493348759
534	643	test	LOSS	0	0.6623646688449291
535	645	test	LOSS	0	0.9140831189999155
536	646	test	LOSS	0	0.4153430640030752
537	648	test	LOSS	0	0.9043759033031696
538	649	test	LOSS	0	0.8998796350449583
539	650	test	WIN	1	0.34501823285402594
540	651	test	WIN	1	0.3161484820294086
541	652	test	LOSS	0	0.879671182833765
542	653	test	LOSS	0	0.8593525378009149
543	654	test	WIN	1	0.5124631387026275
544	656	test	LOSS	0	0.8986031414369793
545	657	test	WIN	1	0.8044751684892756
546	658	test	WIN	1	0.8791937251581672
547	659	test	LOSS	0	0.8899168341396481
548	660	test	WIN	1	0.8792662329611686
549	662	test	WIN	1	0.8002411505712305
550	663	test	WIN	1	0.875635750115223
551	664	test	LOSS	0	0.6909889523784506
552	665	test	WIN	1	0.8135008206524742
553	666	test	WIN	1	0.8783639517996968
554	667	test	LOSS	0	0.9356913078504162
555	668	test	LOSS	0	0.625671843568842
556	669	test	LOSS	0	0.6749688469347486
557	670	test	LOSS	0	0.9357911542796624
558	671	test	LOSS	0	0.08078506833169757
559	672	test	LOSS	0	0.7982509387435864
560	673	test	LOSS	0	0.35460369085115123
561	674	test	LOSS	0	0.9313252643322463
562	675	test	WIN	1	0.8896761542902931
563	677	test	LOSS	0	0.5802671077224678
564	678	test	WIN	1	0.9083616753986657
565	679	test	LOSS	0	0.2714389140224322
566	680	test	LOSS	0	0.8427413773281615
567	681	test	LOSS	0	0.8448298706513265
568	682	test	WIN	1	0.6684451083225942
569	683	test	LOSS	0	0.8797381307945198
570	684	test	LOSS	0	0.8875263212931035
571	685	test	LOSS	0	0.8274739779934895
572	686	test	WIN	1	0.8909809756200632