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Training snapshot

LIVE · ai_learner · latest fit

2026-08-27 19:28 AEST

616 train / 135 select / 135 report samples

LIVE · ai_learner · val log loss

0.1892

report slice too thin to trust (reliable=False) -- 95% CI [-0.0385, +0.0650] -- see README Phase 1c

LIVE · ai_learner · skill / AUC

+0.0173 / 0.65

report slice too thin to trust (reliable=False) -- 95% CI [-0.0385, +0.0650] -- see README Phase 1c

LIVE · ai_learner · calibration

0.22x (flagged)

mean P(up)=0.0233 vs prior=0.1055

PAPER · ai_learner_v4 · latest fit

2026-08-27 19:28 AEST

573 train / 132 select / 133 report samples

PAPER · ai_learner_v4 · val log loss

0.7353

16 fits recorded · scikit-learn

PAPER · ai_learner_v4 · skill / AUC

-0.1214 / 0.68

positive skill + AUC > 0.5 -> genuinely learning

PAPER · ai_learner_v4 · calibration

1.35x (flagged)

mean P(up)=0.5606 vs prior=0.4154

PAPER · ai_learner_v3 · latest fit

2026-08-27 19:28 AEST

616 train / 135 select / 135 report samples

PAPER · ai_learner_v3 · val log loss

0.2817

report slice too thin to trust (reliable=False) -- 95% CI [+0.0254, +0.0682] -- see README Phase 1c

PAPER · ai_learner_v3 · skill / AUC

+0.0478 / 0.48

report slice too thin to trust (reliable=False) -- 95% CI [+0.0254, +0.0682] -- see README Phase 1c

PAPER · ai_learner_v3 · calibration

0.64x (flagged)

mean P(up)=0.1318 vs prior=0.2045

PAPER · ai_learner · latest fit

2026-08-27 19:28 AEST

616 train / 135 select / 135 report samples

PAPER · ai_learner · val log loss

0.1892

report slice too thin to trust (reliable=False) -- 95% CI [-0.0385, +0.0650] -- see README Phase 1c

PAPER · ai_learner · skill / AUC

+0.0173 / 0.65

report slice too thin to trust (reliable=False) -- 95% CI [-0.0385, +0.0650] -- see README Phase 1c

PAPER · ai_learner · calibration

0.22x (flagged)

mean P(up)=0.0233 vs prior=0.1055

Live · ai_learner — validation log-loss vs. baseline

split v1 (legacy, self-refereed)

Val log lossBaseline (do-nothing)

split v2 (honest holdout)

Not enough fits with a validation split yet.

split v3 (report scored unconditionally + calibration)

Val log lossBaseline (do-nothing)

Live · ai_learner — AUC over time

split v1 (legacy, self-refereed)

AUCRandom (0.5)

split v2 (honest holdout)

Not enough fits with AUC recorded yet.

split v3 (report scored unconditionally + calibration)

AUCRandom (0.5)

Paper · ai_learner_v4 — validation log-loss vs. baseline

Val log lossBaseline (do-nothing)

Paper · ai_learner_v4 — AUC over time

AUCRandom (0.5)

Paper · ai_learner_v3 — validation log-loss vs. baseline

split v1 (legacy, self-refereed)

Val log lossBaseline (do-nothing)

split v2 (honest holdout)

Not enough fits with a validation split yet.

split v3 (report scored unconditionally + calibration)

Val log lossBaseline (do-nothing)

Paper · ai_learner_v3 — AUC over time

split v1 (legacy, self-refereed)

AUCRandom (0.5)

split v2 (honest holdout)

Not enough fits with AUC recorded yet.

split v3 (report scored unconditionally + calibration)

AUCRandom (0.5)

Paper · ai_learner — validation log-loss vs. baseline

split v1 (legacy, self-refereed)

Val log lossBaseline (do-nothing)

split v2 (honest holdout)

Not enough fits with a validation split yet.

split v3 (report scored unconditionally + calibration)

Val log lossBaseline (do-nothing)

Paper · ai_learner — AUC over time

split v1 (legacy, self-refereed)

AUCRandom (0.5)

split v2 (honest holdout)

Not enough fits with AUC recorded yet.

split v3 (report scored unconditionally + calibration)

AUCRandom (0.5)

Fit history

Mode	Model	Fitted at	Version	Train	Select	Report	Pos (train/report)	Base rate	Val log loss	Skill	AUC	Best iter	Backend
PAPER	ai_learner_v4	2026-08-27 19:28 AEST	ml-d9e0bef1	573	132	133	238/573 · 30/133	41.5%	0.7353	-0.1214 [-0.1765,-0.0534]	0.68	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 19:28 AEST	ml-28a33659	616	135	135	126/616 · 10/135	20.5%	0.2817	+0.0478 [+0.0254,+0.0682]	0.48	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 19:28 AEST	ml-6f52df21	616	135	135	65/616 · 6/135	10.6%	0.1892	+0.0173 [-0.0385,+0.0650]	0.65	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 19:28 AEST	ml-6f52df21	616	135	135	65/616 · 6/135	10.6%	0.1892	+0.0173 [-0.0385,+0.0650]	0.65	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 18:53 AEST	ml-d9e0bef1	571	132	133	238/571 · 28/133	41.7%	0.7326	-0.1226 [-0.1823,-0.0625]	0.69	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 18:53 AEST	ml-28a33659	614	135	135	126/614 · 8/135	20.5%	0.2537	+0.0562 [+0.0366,+0.0751]	0.49	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 18:53 AEST	ml-6f52df21	614	135	135	65/614 · 4/135	10.6%	0.1340	+0.0412 [-0.0043,+0.0777]	0.63	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 18:53 AEST	ml-6f52df21	614	135	135	65/614 · 4/135	10.6%	0.1340	+0.0412 [-0.0043,+0.0777]	0.63	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 18:43 AEST	ml-d9e0bef1	571	132	132	238/571 · 27/132	41.7%	0.7347	-0.1268 [-0.1874,-0.0611]	0.69	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 18:43 AEST	ml-28a33659	614	134	135	126/614 · 8/135	20.5%	0.2537	+0.0562 [+0.0335,+0.0760]	0.49	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 18:43 AEST	ml-6f52df21	614	134	135	65/614 · 3/135	10.6%	0.1060	+0.0533 [+0.0173,+0.0881]	0.63	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 18:43 AEST	ml-6f52df21	614	134	135	65/614 · 3/135	10.6%	0.1060	+0.0533 [+0.0173,+0.0881]	0.63	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 18:29 AEST	ml-d9e0bef1	570	132	132	238/570 · 26/132	41.8%	0.7420	-0.1359 [-0.2036,-0.0661]	0.69	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 18:29 AEST	ml-28a33659	613	134	135	126/613 · 8/135	20.6%	0.2522	+0.0580 [+0.0363,+0.0789]	0.49	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 18:29 AEST	ml-6f52df21	613	134	135	65/613 · 2/135	10.6%	0.0810	+0.0626 [+0.0234,+0.0893]	0.49	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 18:29 AEST	ml-6f52df21	613	134	135	65/613 · 2/135	10.6%	0.0810	+0.0626 [+0.0234,+0.0893]	0.49	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 18:20 AEST	ml-d9e0bef1	570	132	132	238/570 · 26/132	41.8%	0.7420	-0.1359 [-0.2036,-0.0661]	0.69	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 18:20 AEST	ml-28a33659	613	134	135	126/613 · 8/135	20.6%	0.2522	+0.0580 [+0.0363,+0.0789]	0.49	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 18:20 AEST	ml-6f52df21	613	134	135	65/613 · 2/135	10.6%	0.0810	+0.0626 [+0.0234,+0.0893]	0.49	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 18:20 AEST	ml-6f52df21	613	134	135	65/613 · 2/135	10.6%	0.0810	+0.0626 [+0.0234,+0.0893]	0.49	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 18:11 AEST	ml-d9e0bef1	569	132	132	238/569 · 25/132	41.8%	0.7415	-0.1373 [-0.2026,-0.0777]	0.69	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 18:11 AEST	ml-28a33659	612	134	135	126/612 · 7/135	20.6%	0.2388	+0.0617 [+0.0419,+0.0813]	0.50	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 18:11 AEST	ml-6f52df21	612	134	135	65/612 · 1/135	10.6%	0.0517	+0.0763 [+0.0391,+0.0902]	0.63	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 18:11 AEST	ml-6f52df21	612	134	135	65/612 · 1/135	10.6%	0.0517	+0.0763 [+0.0391,+0.0902]	0.63	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 18:07 AEST	ml-d9e0bef1	569	132	132	238/569 · 25/132	41.8%	0.7415	-0.1373 [-0.2026,-0.0777]	0.69	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 18:07 AEST	ml-28a33659	612	134	135	126/612 · 7/135	20.6%	0.2388	+0.0617 [+0.0419,+0.0813]	0.50	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 18:07 AEST	ml-6f52df21	612	134	135	65/612 · 1/135	10.6%	0.0517	+0.0763 [+0.0391,+0.0902]	0.63	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 18:07 AEST	ml-6f52df21	612	134	135	65/612 · 1/135	10.6%	0.0517	+0.0763 [+0.0391,+0.0902]	0.63	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 17:57 AEST	ml-d9e0bef1	568	132	132	238/568 · 24/132	41.9%	0.7367	-0.1343 [-0.1971,-0.0654]	0.71	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 17:57 AEST	ml-28a33659	612	134	134	126/612 · 6/134	20.6%	0.2254	+0.0656 [+0.0449,+0.0852]	0.51	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 17:57 AEST	ml-6f52df21	612	134	134	65/612 · 0/134	10.6%	0.0235	+0.0888 [+0.0867,+0.0906]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 17:57 AEST	ml-6f52df21	612	134	134	65/612 · 0/134	10.6%	0.0235	+0.0888 [+0.0867,+0.0906]	—	60 (coarse)	scikit-learn
PAPER	ai_learner	2026-08-27 17:50 AEST	ml-6f52df21	612	134	134	65/612 · 0/134	10.6%	0.0235	+0.0888 [+0.0867,+0.0906]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 17:50 AEST	ml-6f52df21	612	134	134	65/612 · 0/134	10.6%	0.0235	+0.0888 [+0.0867,+0.0906]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 17:50 AEST	ml-28a33659	612	134	134	126/612 · 6/134	20.6%	0.2254	+0.0656 [+0.0449,+0.0852]	0.51	15 (fine)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 17:50 AEST	ml-d9e0bef1	568	132	132	238/568 · 24/132	41.9%	0.7367	-0.1343 [-0.1971,-0.0654]	0.71	15 (fine)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 17:05 AEST	ml-d9e0bef1	566	131	132	238/566 · 24/132	42.0%	0.7415	-0.1376 [-0.2025,-0.0691]	0.71	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 17:05 AEST	ml-28a33659	610	133	134	126/610 · 6/134	20.7%	0.2290	+0.0626 [+0.0435,+0.0785]	0.61	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 17:05 AEST	ml-6f52df21	610	133	134	65/610 · 0/134	10.7%	0.0255	+0.0872 [+0.0848,+0.0897]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 17:05 AEST	ml-6f52df21	610	133	134	65/610 · 0/134	10.7%	0.0255	+0.0872 [+0.0848,+0.0897]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 17:02 AEST	ml-d9e0bef1	566	131	132	238/566 · 24/132	42.0%	0.7415	-0.1376 [-0.2025,-0.0691]	0.71	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 17:02 AEST	ml-28a33659	610	133	134	126/610 · 6/134	20.7%	0.2290	+0.0626 [+0.0435,+0.0785]	0.61	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 17:02 AEST	ml-6f52df21	610	133	134	65/610 · 0/134	10.7%	0.0255	+0.0872 [+0.0848,+0.0897]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 17:02 AEST	ml-6f52df21	610	133	134	65/610 · 0/134	10.7%	0.0255	+0.0872 [+0.0848,+0.0897]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 16:44 AEST	ml-d9e0bef1	565	131	131	238/565 · 24/131	42.1%	0.7280	-0.1230 [-0.1797,-0.0600]	0.70	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 16:44 AEST	ml-28a33659	608	133	134	126/608 · 6/134	20.7%	0.2297	+0.0626 [+0.0424,+0.0793]	0.46	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 16:44 AEST	ml-6f52df21	608	133	134	65/608 · 0/134	10.7%	0.0239	+0.0891 [+0.0871,+0.0914]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 16:44 AEST	ml-6f52df21	608	133	134	65/608 · 0/134	10.7%	0.0239	+0.0891 [+0.0871,+0.0914]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 16:35 AEST	ml-d9e0bef1	565	131	131	238/565 · 24/131	42.1%	0.7280	-0.1230 [-0.1797,-0.0600]	0.70	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 16:35 AEST	ml-28a33659	608	133	134	126/608 · 6/134	20.7%	0.2297	+0.0626 [+0.0424,+0.0793]	0.46	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 16:35 AEST	ml-6f52df21	608	133	134	65/608 · 0/134	10.7%	0.0239	+0.0891 [+0.0871,+0.0914]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 16:35 AEST	ml-6f52df21	608	133	134	65/608 · 0/134	10.7%	0.0239	+0.0891 [+0.0871,+0.0914]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 16:34 AEST	ml-d9e0bef1	565	131	131	238/565 · 24/131	42.1%	0.7280	-0.1230 [-0.1797,-0.0600]	0.70	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 16:34 AEST	ml-28a33659	608	133	134	126/608 · 6/134	20.7%	0.2297	+0.0626 [+0.0424,+0.0793]	0.46	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 16:33 AEST	ml-6f52df21	608	133	134	65/608 · 0/134	10.7%	0.0239	+0.0891 [+0.0871,+0.0914]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 16:33 AEST	ml-6f52df21	608	133	134	65/608 · 0/134	10.7%	0.0239	+0.0891 [+0.0871,+0.0914]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 16:11 AEST	ml-d9e0bef1	564	130	131	238/564 · 24/131	42.2%	0.7281	-0.1223 [-0.1892,-0.0542]	0.70	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 16:11 AEST	ml-28a33659	607	133	133	126/607 · 6/133	20.8%	0.2307	+0.0624 [+0.0413,+0.0784]	0.46	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 16:11 AEST	ml-6f52df21	607	133	133	65/607 · 0/133	10.7%	0.0252	+0.0881 [+0.0855,+0.0902]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 16:11 AEST	ml-6f52df21	607	133	133	65/607 · 0/133	10.7%	0.0252	+0.0881 [+0.0855,+0.0902]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v4	2026-08-27 15:50 AEST	ml-d9e0bef1	563	130	131	238/563 · 24/131	42.3%	0.7059	-0.0994 [-0.1615,-0.0448]	0.71	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 15:49 AEST	ml-28a33659	606	133	133	126/606 · 6/133	20.8%	0.2316	+0.0618 [+0.0433,+0.0784]	0.36	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 15:49 AEST	ml-6f52df21	606	133	133	65/606 · 0/133	10.7%	0.0240	+0.0895 [+0.0873,+0.0917]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 15:49 AEST	ml-6f52df21	606	133	133	65/606 · 0/133	10.7%	0.0240	+0.0895 [+0.0873,+0.0917]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 15:48 AEST	ml-28a33659	606	133	133	126/606 · 6/133	20.8%	0.2316	+0.0618 [+0.0433,+0.0784]	0.36	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 15:48 AEST	ml-6f52df21	606	133	133	65/606 · 0/133	10.7%	0.0240	+0.0895 [+0.0873,+0.0917]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 15:48 AEST	ml-6f52df21	606	133	133	65/606 · 0/133	10.7%	0.0240	+0.0895 [+0.0873,+0.0917]	—	60 (coarse)	scikit-learn
PAPER	ai_learner	2026-08-27 15:09 AEST	ml-6f52df21	604	132	133	65/604 · 0/133	10.8%	0.0267	+0.0871 [+0.0842,+0.0893]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 15:09 AEST	ml-6f52df21	604	132	133	65/604 · 0/133	10.8%	0.0267	+0.0871 [+0.0842,+0.0893]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 15:09 AEST	ml-28a33659	604	132	133	124/604 · 6/133	20.5%	0.2198	+0.0711 [+0.0477,+0.0936]	0.52	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 14:09 AEST	ml-6f52df21	601	132	132	65/601 · 0/132	10.8%	0.0264	+0.0881 [+0.0854,+0.0903]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 14:09 AEST	ml-6f52df21	601	132	132	65/601 · 0/132	10.8%	0.0264	+0.0881 [+0.0854,+0.0903]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 14:09 AEST	ml-28a33659	601	132	132	123/601 · 6/132	20.5%	0.2206	+0.0701 [+0.0485,+0.0893]	0.47	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 13:09 AEST	ml-6f52df21	598	131	132	65/598 · 0/132	10.9%	0.0255	+0.0895 [+0.0875,+0.0917]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 13:09 AEST	ml-6f52df21	598	131	132	65/598 · 0/132	10.9%	0.0255	+0.0895 [+0.0875,+0.0917]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 13:09 AEST	ml-28a33659	598	131	132	123/598 · 6/132	20.6%	0.2239	+0.0678 [+0.0477,+0.0858]	0.57	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 12:09 AEST	ml-6f52df21	596	130	131	65/596 · 0/131	10.9%	0.0286	+0.0869 [+0.0840,+0.0897]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 12:09 AEST	ml-6f52df21	596	130	131	65/596 · 0/131	10.9%	0.0286	+0.0869 [+0.0840,+0.0897]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 12:09 AEST	ml-28a33659	596	130	131	123/596 · 6/131	20.6%	0.2219	+0.0710 [+0.0469,+0.0895]	0.52	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 11:09 AEST	ml-6f52df21	593	130	130	65/593 · 0/130	11.0%	0.0266	+0.0895 [+0.0869,+0.0918]	—	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 11:09 AEST	ml-6f52df21	593	130	130	65/593 · 0/130	11.0%	0.0266	+0.0895 [+0.0869,+0.0918]	—	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 11:09 AEST	ml-28a33659	593	130	130	123/593 · 6/130	20.7%	0.2229	+0.0715 [+0.0434,+0.0904]	0.53	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 10:09 AEST	ml-6f52df21	590	129	130	65/590 · 1/130	11.0%	0.0549	+0.0779 [+0.0545,+0.0908]	0.74	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 10:09 AEST	ml-6f52df21	590	129	130	65/590 · 1/130	11.0%	0.0549	+0.0779 [+0.0545,+0.0908]	0.74	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 10:09 AEST	ml-28a33659	590	129	130	123/590 · 7/130	20.8%	0.2401	+0.0655 [+0.0423,+0.0840]	0.47	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 09:09 AEST	ml-6f52df21	587	129	129	65/587 · 1/129	11.1%	0.0536	+0.0799 [+0.0510,+0.0951]	0.54	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 09:09 AEST	ml-6f52df21	587	129	129	65/587 · 1/129	11.1%	0.0536	+0.0799 [+0.0510,+0.0951]	0.54	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 09:09 AEST	ml-28a33659	587	129	129	123/587 · 9/129	21.0%	0.2719	+0.0559 [+0.0274,+0.0791]	0.37	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 08:09 AEST	ml-6f52df21	584	128	129	65/584 · 1/129	11.1%	0.0546	+0.0795 [+0.0402,+0.0945]	0.48	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 08:09 AEST	ml-6f52df21	584	128	129	65/584 · 1/129	11.1%	0.0546	+0.0795 [+0.0402,+0.0945]	0.48	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 08:09 AEST	ml-28a33659	584	128	129	123/584 · 9/129	21.1%	0.2716	+0.0571 [+0.0283,+0.0803]	0.40	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 07:09 AEST	ml-6f52df21	582	127	128	65/582 · 1/128	11.2%	0.0564	+0.0783 [+0.0507,+0.0935]	0.39	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 07:09 AEST	ml-6f52df21	582	127	128	65/582 · 1/128	11.2%	0.0564	+0.0783 [+0.0507,+0.0935]	0.39	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 07:09 AEST	ml-28a33659	582	127	128	123/582 · 9/128	21.1%	0.2716	+0.0584 [+0.0260,+0.0825]	0.41	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 06:09 AEST	ml-6f52df21	579	127	127	65/579 · 1/127	11.2%	0.0543	+0.0810 [+0.0505,+0.0972]	0.47	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 06:09 AEST	ml-6f52df21	579	127	127	65/579 · 1/127	11.2%	0.0543	+0.0810 [+0.0505,+0.0972]	0.47	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 06:09 AEST	ml-28a33659	579	127	127	123/579 · 9/127	21.2%	0.2711	+0.0606 [+0.0319,+0.0849]	0.59	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 05:09 AEST	ml-6f52df21	576	126	127	65/576 · 1/127	11.3%	0.0507	+0.0852 [+0.0529,+0.0981]	0.81	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 05:09 AEST	ml-6f52df21	576	126	127	65/576 · 1/127	11.3%	0.0507	+0.0852 [+0.0529,+0.0981]	0.81	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 05:09 AEST	ml-28a33659	576	126	127	123/576 · 9/127	21.4%	0.2721	+0.0605 [+0.0316,+0.0854]	0.46	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 04:09 AEST	ml-6f52df21	573	126	126	65/573 · 1/126	11.3%	0.0528	+0.0839 [+0.0577,+0.0984]	0.70	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 04:09 AEST	ml-6f52df21	573	126	126	65/573 · 1/126	11.3%	0.0528	+0.0839 [+0.0577,+0.0984]	0.70	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 04:09 AEST	ml-28a33659	573	126	126	123/573 · 8/126	21.5%	0.2580	+0.0659 [+0.0368,+0.0899]	0.46	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 03:09 AEST	ml-6f52df21	570	125	126	65/570 · 1/126	11.4%	0.0544	+0.0830 [+0.0514,+0.0965]	0.77	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 03:09 AEST	ml-6f52df21	570	125	126	65/570 · 1/126	11.4%	0.0544	+0.0830 [+0.0514,+0.0965]	0.77	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 03:09 AEST	ml-28a33659	570	125	126	123/570 · 7/126	21.6%	0.2437	+0.0711 [+0.0454,+0.0920]	0.40	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 02:09 AEST	ml-6f52df21	568	124	125	65/568 · 1/125	11.4%	0.0557	+0.0822 [+0.0575,+0.0963]	0.69	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 02:09 AEST	ml-6f52df21	568	124	125	65/568 · 1/125	11.4%	0.0557	+0.0822 [+0.0575,+0.0963]	0.69	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 02:09 AEST	ml-28a33659	568	124	125	123/568 · 7/125	21.7%	0.2446	+0.0714 [+0.0418,+0.0971]	0.41	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 01:09 AEST	ml-6f52df21	565	124	124	65/565 · 1/124	11.5%	0.0556	+0.0831 [+0.0544,+0.0970]	0.74	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 01:09 AEST	ml-6f52df21	565	124	124	65/565 · 1/124	11.5%	0.0556	+0.0831 [+0.0544,+0.0970]	0.74	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 01:09 AEST	ml-28a33659	565	124	124	121/565 · 7/124	21.4%	0.2418	+0.0726 [+0.0467,+0.0942]	0.62	15 (fine)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 00:24 AEST	ml-28a33659	563	123	124	121/563 · 7/124	21.5%	0.2415	+0.0736 [+0.0488,+0.0982]	0.65	15 (fine)	scikit-learn
PAPER	ai_learner	2026-08-27 00:24 AEST	ml-6f52df21	563	123	124	65/563 · 1/124	11.5%	0.0568	+0.0823 [+0.0574,+0.0968]	0.69	60 (coarse)	scikit-learn
LIVE	ai_learner	2026-08-27 00:24 AEST	ml-6f52df21	563	123	124	65/563 · 1/124	11.5%	0.0568	+0.0823 [+0.0574,+0.0968]	0.69	60 (coarse)	scikit-learn
PAPER	ai_learner_v3	2026-08-27 00:14 AEST	ml-28a33659	562	123	124	121/562 · 7/124	21.5%	0.2444	+0.0711	0.47	15	scikit-learn
PAPER	ai_learner	2026-08-27 00:14 AEST	ml-6f52df21	562	123	124	65/562 · 1/124	11.6%	0.0577	+0.0816	0.67	60	scikit-learn
LIVE	ai_learner	2026-08-27 00:14 AEST	ml-6f52df21	562	123	124	65/562 · 1/124	11.6%	0.0577	+0.0816	0.67	60	scikit-learn
PAPER	ai_learner_v3	2026-08-26 23:18 AEST	ml-68abccfc	560	123	123	121/560 · 7/123	21.6%	0.2454	+0.0714	0.48	15	scikit-learn
PAPER	ai_learner	2026-08-26 23:18 AEST	ml-a107bcb8	683	0	123	87/683 · 1/123	12.7%	0.0899	+0.0620	0.16	—	scikit-learn
LIVE	ai_learner	2026-08-26 23:18 AEST	ml-a107bcb8	683	0	123	87/683 · 1/123	12.7%	0.0899	+0.0620	0.16	—	scikit-learn
PAPER	ai_learner_v3	2026-08-26 22:18 AEST	ml-68abccfc	557	122	123	121/557 · 8/123	21.7%	0.2619	+0.0664	0.48	15	scikit-learn
PAPER	ai_learner	2026-08-26 22:18 AEST	ml-a107bcb8	679	0	123	87/679 · 1/123	12.8%	0.0953	+0.0574	0.38	—	scikit-learn
LIVE	ai_learner	2026-08-26 22:18 AEST	ml-a107bcb8	679	0	123	87/679 · 1/123	12.8%	0.0953	+0.0574	0.38	—	scikit-learn
PAPER	ai_learner_v3	2026-08-26 21:18 AEST	ml-68abccfc	554	122	122	121/554 · 8/122	21.8%	0.2637	+0.0663	0.45	15	scikit-learn
PAPER	ai_learner	2026-08-26 21:18 AEST	ml-a107bcb8	676	0	122	85/676 · 1/122	12.6%	0.1077	+0.0426	0.19	—	scikit-learn
LIVE	ai_learner	2026-08-26 21:18 AEST	ml-a107bcb8	676	0	122	85/676 · 1/122	12.6%	0.1077	+0.0426	0.19	—	scikit-learn
PAPER	ai_learner_v3	2026-08-26 20:18 AEST	ml-68abccfc	551	121	122	121/551 · 9/122	22.0%	0.2839	+0.0576	0.41	15	scikit-learn
PAPER	ai_learner	2026-08-26 20:18 AEST	ml-a107bcb8	672	0	122	81/672 · 1/122	12.1%	0.1032	+0.0415	0.40	—	scikit-learn
LIVE	ai_learner	2026-08-26 20:18 AEST	ml-a107bcb8	672	0	122	81/672 · 1/122	12.1%	0.1032	+0.0415	0.40	—	scikit-learn
PAPER	ai_learner_v3	2026-08-26 19:33 AEST	ml-68abccfc	549	121	121	121/549 · 11/121	22.0%	0.3153	+0.0485	0.46	15	scikit-learn
PAPER	ai_learner	2026-08-26 19:33 AEST	ml-a107bcb8	670	0	121	80/670 · 2/121	11.9%	0.1135	+0.0467	0.69	—	scikit-learn
LIVE	ai_learner	2026-08-26 19:33 AEST	ml-a107bcb8	670	0	121	80/670 · 2/121	11.9%	0.1135	+0.0467	0.69	—	scikit-learn
LIVE	ai_learner	2026-08-26 19:20 AEST	ml-a107bcb8	669	0	121	79/669 · 2/121	11.8%	0.1080	+0.0509	0.70	—	scikit-learn
PAPER	ai_learner_v3	2026-08-26 19:20 AEST	ml-68abccfc	549	120	121	121/549 · 12/121	22.0%	0.3308	+0.0435	0.46	15	scikit-learn
PAPER	ai_learner	2026-08-26 19:20 AEST	ml-a107bcb8	669	0	121	79/669 · 2/121	11.8%	0.1080	+0.0509	0.70	—	scikit-learn
LIVE	ai_learner	2026-08-26 18:54 AEST	ml-a107bcb8	667	0	0	77/667 · —	11.5%	—	—	—	—	scikit-learn
PAPER	ai_learner_v3	2026-08-26 18:54 AEST	ml-68abccfc	667	0	0	145/667 · —	21.7%	—	—	—	—	scikit-learn
PAPER	ai_learner	2026-08-26 18:54 AEST	ml-a107bcb8	667	0	0	77/667 · —	11.5%	—	—	—	—	scikit-learn
LIVE	ai_learner	2026-08-26 18:30 AEST	ml-5b17ce39	643	—	160	77/643 · 11/160	12.0%	0.2114	+0.0533	0.81	135	scikit-learn
PAPER	ai_learner_v3	2026-08-26 18:30 AEST	ml-ff2187f1	643	—	160	144/643 · 23/160	22.4%	0.4105	+0.0217	0.66	120	scikit-learn
PAPER	ai_learner	2026-08-26 18:30 AEST	ml-5b17ce39	643	—	160	77/643 · 11/160	12.0%	0.2114	+0.0533	0.81	135	scikit-learn
LIVE	ai_learner	2026-08-26 18:09 AEST	ml-5b17ce39	641	—	160	77/641 · 11/160	12.0%	0.2117	+0.0532	0.81	135	scikit-learn
PAPER	ai_learner_v3	2026-08-26 18:09 AEST	ml-ff2187f1	641	—	160	144/641 · 23/160	22.5%	0.4243	+0.0083	0.63	105	scikit-learn
PAPER	ai_learner	2026-08-26 18:09 AEST	ml-5b17ce39	641	—	160	77/641 · 11/160	12.0%	0.2117	+0.0532	0.81	135	scikit-learn
LIVE	ai_learner	2026-08-26 17:34 AEST	ml-5b17ce39	640	—	159	77/640 · 11/159	12.0%	0.2060	+0.0598	0.82	150	scikit-learn
PAPER	ai_learner	2026-08-26 17:30 AEST	ml-5b17ce39	640	—	159	77/640 · 11/159	12.0%	0.2060	+0.0598	0.82	150	scikit-learn
PAPER	ai_learner_v3	2026-08-26 17:30 AEST	ml-ff2187f1	640	—	159	144/640 · 23/159	22.5%	0.4232	+0.0106	0.61	30	scikit-learn
LIVE	ai_learner	2026-08-26 16:33 AEST	ml-5b17ce39	636	—	159	75/636 · 13/159	11.8%	0.2232	+0.0668	0.85	180	scikit-learn
PAPER	ai_learner	2026-08-26 16:30 AEST	ml-5b17ce39	636	—	159	75/636 · 13/159	11.8%	0.2232	+0.0668	0.85	180	scikit-learn
PAPER	ai_learner_v3	2026-08-26 16:30 AEST	ml-ff2187f1	636	—	159	141/636 · 26/159	22.2%	0.4362	+0.0198	0.65	30	scikit-learn
LIVE	ai_learner	2026-08-26 15:33 AEST	ml-5b17ce39	633	—	158	73/633 · 15/158	11.5%	0.2635	+0.0524	0.81	105	scikit-learn
PAPER	ai_learner	2026-08-26 15:30 AEST	ml-5b17ce39	633	—	158	73/633 · 15/158	11.5%	0.2635	+0.0524	0.81	105	scikit-learn
PAPER	ai_learner_v3	2026-08-26 15:30 AEST	ml-ff2187f1	633	—	158	139/633 · 28/158	22.0%	0.4773	-0.0047	0.56	30	scikit-learn
LIVE	ai_learner	2026-08-26 14:33 AEST	ml-5b17ce39	630	—	157	72/630 · 16/157	11.4%	0.2825	+0.0475	0.84	135	scikit-learn
PAPER	ai_learner	2026-08-26 14:30 AEST	ml-5b17ce39	630	—	157	72/630 · 16/157	11.4%	0.2825	+0.0475	0.84	135	scikit-learn
PAPER	ai_learner_v3	2026-08-26 14:30 AEST	ml-ff2187f1	630	—	157	138/630 · 29/157	21.9%	0.4795	+0.0026	0.58	15	scikit-learn
LIVE	ai_learner	2026-08-26 13:32 AEST	ml-5b17ce39	627	—	156	69/627 · 19/156	11.0%	0.3527	+0.0185	0.88	165	scikit-learn
PAPER	ai_learner	2026-08-26 13:30 AEST	ml-5b17ce39	627	—	156	69/627 · 19/156	11.0%	0.3527	+0.0185	0.88	165	scikit-learn
PAPER	ai_learner_v3	2026-08-26 13:30 AEST	ml-ff2187f1	627	—	156	135/627 · 32/156	21.5%	0.5266	-0.0189	0.52	15	scikit-learn
LIVE	ai_learner	2026-08-26 12:32 AEST	ml-5b17ce39	624	—	155	68/624 · 21/155	10.9%	0.3956	+0.0045	0.74	30	scikit-learn
PAPER	ai_learner	2026-08-26 12:30 AEST	ml-5b17ce39	624	—	155	68/624 · 20/155	10.9%	0.3750	+0.0115	0.81	90	scikit-learn
PAPER	ai_learner_v3	2026-08-26 12:30 AEST	ml-ff2187f1	624	—	155	133/624 · 34/155	21.3%	0.5502	-0.0240	0.55	15	scikit-learn
LIVE	ai_learner	2026-08-26 11:31 AEST	ml-5b17ce39	620	—	155	66/620 · 22/155	10.6%	0.4365	-0.0220	0.61	15	scikit-learn
PAPER	ai_learner_v3	2026-08-26 11:30 AEST	ml-ff2187f1	620	—	155	130/620 · 35/155	21.0%	0.5639	-0.0289	0.56	15	scikit-learn
PAPER	ai_learner	2026-08-26 11:30 AEST	ml-5b17ce39	620	—	155	66/620 · 22/155	10.6%	0.4365	-0.0220	0.61	15	scikit-learn
LIVE	ai_learner	2026-08-26 10:31 AEST	ml-5b17ce39	617	—	154	65/617 · 23/154	10.5%	0.4546	-0.0238	0.58	15	scikit-learn
PAPER	ai_learner_v3	2026-08-26 10:30 AEST	ml-ff2187f1	617	—	154	127/617 · 38/154	20.6%	0.6056	-0.0420	0.62	15	scikit-learn
PAPER	ai_learner	2026-08-26 10:30 AEST	ml-5b17ce39	617	—	154	65/617 · 23/154	10.5%	0.4546	-0.0238	0.58	15	scikit-learn
LIVE	ai_learner	2026-08-26 09:31 AEST	ml-5b17ce39	614	—	153	65/614 · 23/153	10.6%	0.4632	-0.0306	0.62	15	scikit-learn
PAPER	ai_learner_v3	2026-08-26 09:30 AEST	ml-ff2187f1	614	—	153	126/614 · 39/153	20.5%	0.6208	-0.0460	0.62	15	scikit-learn
PAPER	ai_learner	2026-08-26 09:30 AEST	ml-5b17ce39	614	—	153	65/614 · 23/153	10.6%	0.4632	-0.0306	0.62	15	scikit-learn
LIVE	ai_learner	2026-08-26 08:45 AEST	ml-5b17ce39	612	—	152	65/612 · 23/152	10.6%	0.4582	-0.0236	0.59	15	scikit-learn
PAPER	ai_learner_v3	2026-08-26 08:45 AEST	ml-ff2187f1	612	—	152	126/612 · 38/152	20.6%	0.6156	-0.0476	0.59	15	scikit-learn
PAPER	ai_learner	2026-08-26 08:45 AEST	ml-5b17ce39	612	—	152	65/612 · 23/152	10.6%	0.4582	-0.0236	0.59	15	scikit-learn
LIVE	ai_learner	2026-08-26 08:36 AEST	ml-5b17ce39	611	—	152	65/611 · 23/152	10.6%	0.4642	-0.0297	0.60	15	scikit-learn
PAPER	ai_learner_v3	2026-08-26 08:36 AEST	ml-ff2187f1	611	—	152	126/611 · 37/152	20.6%	0.6008	-0.0418	0.64	15	scikit-learn
PAPER	ai_learner	2026-08-26 08:36 AEST	ml-5b17ce39	611	—	152	65/611 · 23/152	10.6%	0.4642	-0.0297	0.60	15	scikit-learn
LIVE	ai_learner	2026-08-26 08:05 AEST	ml-5b17ce39	609	—	152	65/609 · 23/152	10.7%	0.4562	-0.0219	0.57	15	scikit-learn
PAPER	ai_learner_v3	2026-08-26 08:05 AEST	ml-ff2187f1	609	—	152	126/609 · 37/152	20.7%	0.5954	-0.0365	0.61	15	scikit-learn
PAPER	ai_learner	2026-08-26 08:05 AEST	ml-5b17ce39	609	—	152	65/609 · 23/152	10.7%	0.4562	-0.0219	0.57	15	scikit-learn
LIVE	ai_learner	2026-08-26 08:01 AEST	ml-5b17ce39	609	—	152	65/609 · 23/152	10.7%	0.4562	-0.0219	0.57	15	scikit-learn
PAPER	ai_learner	2026-08-26 07:55 AEST	ml-5b17ce39	608	—	152	65/608 · 23/152	10.7%	0.4635	-0.0292	0.60	15	scikit-learn
LIVE	ai_learner	2026-08-26 07:00 AEST	ml-5b17ce39	606	—	151	65/606 · 23/151	10.7%	0.4654	-0.0291	0.59	15	scikit-learn
PAPER	ai_learner	2026-08-26 06:55 AEST	ml-5b17ce39	605	—	151	65/605 · 23/151	10.7%	0.4688	-0.0326	0.60	15	scikit-learn
LIVE	ai_learner	2026-08-26 06:00 AEST	ml-5b17ce39	603	—	150	65/603 · 23/150	10.8%	0.4647	-0.0266	0.60	15	scikit-learn
PAPER	ai_learner	2026-08-26 05:55 AEST	ml-5b17ce39	602	—	150	65/602 · 23/150	10.8%	0.4652	-0.0271	0.60	15	scikit-learn
LIVE	ai_learner	2026-08-26 04:59 AEST	ml-5b17ce39	599	—	149	65/599 · 23/149	10.9%	0.4599	-0.0200	0.59	15	scikit-learn
PAPER	ai_learner	2026-08-26 04:55 AEST	ml-5b17ce39	599	—	149	65/599 · 23/149	10.9%	0.4599	-0.0200	0.59	15	scikit-learn
LIVE	ai_learner	2026-08-26 03:59 AEST	ml-5b17ce39	596	—	148	65/596 · 23/148	10.9%	0.4646	-0.0227	0.60	15	scikit-learn
PAPER	ai_learner	2026-08-26 03:55 AEST	ml-5b17ce39	596	—	148	65/596 · 23/148	10.9%	0.4646	-0.0227	0.60	15	scikit-learn
LIVE	ai_learner	2026-08-26 02:59 AEST	ml-5b17ce39	592	—	148	65/592 · 23/148	11.0%	0.4679	-0.0263	0.61	15	scikit-learn
PAPER	ai_learner	2026-08-26 02:55 AEST	ml-5b17ce39	592	—	148	65/592 · 23/148	11.0%	0.4679	-0.0263	0.61	15	scikit-learn
LIVE	ai_learner	2026-08-26 01:58 AEST	ml-5b17ce39	589	—	147	65/589 · 23/147	11.0%	0.4627	-0.0192	0.57	15	scikit-learn
PAPER	ai_learner	2026-08-26 01:55 AEST	ml-5b17ce39	589	—	147	65/589 · 22/147	11.0%	0.4450	-0.0157	0.57	15	scikit-learn
LIVE	ai_learner	2026-08-26 00:58 AEST	ml-5b17ce39	586	—	146	65/586 · 22/146	11.1%	0.4537	-0.0225	0.61	15	scikit-learn
PAPER	ai_learner	2026-08-26 00:55 AEST	ml-5b17ce39	586	—	146	65/586 · 22/146	11.1%	0.4537	-0.0225	0.61	15	scikit-learn
LIVE	ai_learner	2026-08-25 23:58 AEST	ml-5b17ce39	583	—	145	65/583 · 22/145	11.1%	0.4491	-0.0160	0.61	15	scikit-learn
PAPER	ai_learner	2026-08-25 23:55 AEST	ml-5b17ce39	583	—	145	65/583 · 22/145	11.1%	0.4491	-0.0160	0.61	15	scikit-learn
LIVE	ai_learner	2026-08-25 22:57 AEST	ml-5b17ce39	580	—	144	65/580 · 22/144	11.2%	0.4557	-0.0206	0.62	15	scikit-learn