Actionable-Information Optimizer / toy_results.json
Mechanism confirmed, baseline not beaten
1{
2 "channel": [
3 {
4 "delta": 2.0,
5 "I_acq": 0.9065131684916277,
6 "I_use": 0.048401744400527934,
7 "I_un": 0.8581114240910998,
8 "progress": 0.19737728592437534,
9 "action_correct": 0.34470833333333334,
10 "zero_fraction": 0.6551916666666666
11 },
12 {
13 "delta": 1.0,
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15 "I_use": 0.08274284351224791,
16 "I_un": 1.4282104190489313,
17 "progress": 0.2559933160682166,
18 "action_correct": 0.6259416666666666,
19 "zero_fraction": 0.36439166666666667
20 },
21 {
22 "delta": 0.5,
23 "I_acq": 2.176099347730744,
24 "I_use": 0.09343892622294131,
25 "I_un": 2.0826604215078026,
26 "progress": 0.2631487840520178,
27 "action_correct": 0.7738,
28 "zero_fraction": 0.188025
29 },
30 {
31 "delta": 0.25,
32 "I_acq": 2.862107749028295,
33 "I_use": 0.10070152059892563,
34 "I_un": 2.7614062284293692,
35 "progress": 0.2591950085732341,
36 "action_correct": 0.838925,
37 "zero_fraction": 0.09385
38 },
39 {
40 "delta": 0.125,
41 "I_acq": 3.553760013275197,
42 "I_use": 0.10351326553599056,
43 "I_un": 3.4502467477392065,
44 "progress": 0.2550986464163217,
45 "action_correct": 0.8669916666666667,
46 "zero_fraction": 0.047016666666666665
47 },
48 {
49 "delta": 0.0625,
50 "I_acq": 4.245977833310215,
51 "I_use": 0.10415922542870304,
52 "I_un": 4.141818607881512,
53 "progress": 0.25266582519568626,
54 "action_correct": 0.8800166666666667,
55 "zero_fraction": 0.023308333333333334
56 },
57 {
58 "delta": 0.03125,
59 "I_acq": 4.938413097408342,
60 "I_use": 0.10456995832588824,
61 "I_un": 4.833843139082453,
62 "progress": 0.2513299005347552,
63 "action_correct": 0.885975,
64 "zero_fraction": 0.0117
65 }
66 ],
67 "learning": [
68 {
69 "method": "raw",
70 "final_loss": 0.013129418419294343
71 },
72 {
73 "method": "quantized_2.0",
74 "final_loss": 0.03258906128148902
75 },
76 {
77 "method": "quantized_1.0",
78 "final_loss": 0.020077161397097604
79 },
80 {
81 "method": "quantized_0.5",
82 "final_loss": 0.014197803103921644
83 },
84 {
85 "method": "quantized_0.25",
86 "final_loss": 0.013497681294527218
87 },
88 {
89 "method": "quantized_0.125",
90 "final_loss": 0.01312350402137491
91 }
92 ],
93 "predictions": {
94 "acq_log_slope": 0.9966855203906653,
95 "acq_log_r2": 0.9999966210481701,
96 "fine_delta_I_acq": 0.6924352640981262,
97 "fine_delta_I_use": 0.0004107328971851981,
98 "fine_delta_progress": -0.001335924660931076,
99 "predicted_acq_slope": 1.0,
100 "predicted_useful_trend": "plateau relative to I_acq",
101 "predicted_progress_trend": "plateau relative to I_acq"
102 }
103}