DaniFrame commited on
Commit
30e7926
·
verified ·
1 Parent(s): 73907f9

Upload extra parameters and metrics

Browse files
swCSC_xgboost_seed_290/extra_params.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "Lpls_beta": 0.0014443841329252701
3
+ }
swCSC_xgboost_seed_290/feature_importance.csv ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ,L1s_importance,L1_importance,L2s_importance,L2_importance,Lpls_importance,Lpl_importance
2
+ AFP,0.2842075,0.3682643,0.07442124,0.09654042,0.19734696,0.23063573
3
+ FEh,0.07459312,0.07509165,0.70075166,0.60684437,0.1472992,0.14031664
4
+ PT_D,0.0073369383,0.020789387,0.0024958057,0.0059260847,0.036192104,0.04390491
5
+ PT_P,0.14024538,0.05321314,0.03055311,0.028889263,0.04291254,0.089222826
6
+ PT_Unk,0.13909465,0.23988709,0.06851216,0.11082638,0.11172124,0.078397416
7
+ FEM_A,0.09485395,0.04917327,0.0124238925,0.016504493,0.13679884,0.06304558
8
+ FEM_C,0.0353459,0.013894151,0.00020216647,0.0001640411,0.057884496,0.0601578
9
+ FEM_CAE,0.0,0.0,0.0,0.0,0.0,0.0
10
+ FEM_D,0.03457798,0.0013492544,0.00017556909,6.287477e-05,0.058489263,0.003929108
11
+ FEM_EO,0.06945511,0.00833014,0.0005681569,0.00039916008,0.073008336,0.038770996
12
+ FEM_W,0.0,0.0,0.0,0.0,0.0,0.0
13
+ cpu_training_time,0.002369163,0.004757309,0.0045779245,0.0046537984,0.004140631,0.0060957433
14
+ cpu_prediction_time,0.0026822307,0.005269718,0.0039699916,0.0039741155,0.003989455,0.009128301
15
+ memory_usage,0.008729165,0.01007588,0.016289027,0.017016178,0.004701945,0.009931852
16
+ max_depth,0.0019253932,0.0035440032,0.003095431,0.003963866,0.003818548,0.0033858651
17
+ learning_rate,0.0070797317,0.012571654,0.015293904,0.019306988,0.014387344,0.019640626
18
+ n_estimators,0.0049019367,0.00879908,0.009340533,0.012799001,0.009010871,0.014075412
19
+ model_CatBoostRegressor,0.015094718,0.020119183,0.00679439,0.0082504805,0.03293954,0.053609826
20
+ model_DecisionTreeRegressor,0.0005376826,0.006696918,0.0,0.00021170717,0.0017286367,0.023617258
21
+ model_LGBMRegressor,0.05159939,0.068835996,0.03639752,0.042908847,0.02872931,0.07679275
22
+ model_RandomForestRegressor,0.004710278,0.005893674,0.0017413256,0.0028167581,0.012119236,0.015565469
23
+ model_XGBRegressor,0.02065976,0.023444302,0.012396262,0.017941283,0.02278144,0.019775854
swCSC_xgboost_seed_290/metrics.json ADDED
@@ -0,0 +1,140 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "L1s": {
3
+ "train": {
4
+ "RMSE": 1178.5794051672165,
5
+ "MAPE": 3.5513472707922826,
6
+ "R2": 0.25061136161953756,
7
+ "Pearson": 0.9688096562216061,
8
+ "Spearman": 0.8713664396965037
9
+ },
10
+ "validation": {
11
+ "RMSE": 491.2310685498384,
12
+ "MAPE": 35.68189476862575,
13
+ "R2": 0.0530699636763764,
14
+ "Pearson": 0.26908566104309706,
15
+ "Spearman": 0.24513826536674596
16
+ },
17
+ "test": {
18
+ "RMSE": 558.9374797563177,
19
+ "MAPE": 2.8902071048282507,
20
+ "R2": -0.6289084234494524,
21
+ "Pearson": 0.21543734807733297,
22
+ "Spearman": 0.3418192737567558
23
+ }
24
+ },
25
+ "L1": {
26
+ "train": {
27
+ "RMSE": 358.6049774643694,
28
+ "MAPE": 4.463502585005335,
29
+ "R2": 0.9036627594502705,
30
+ "Pearson": 0.9874292041325574,
31
+ "Spearman": 0.8898789697295523
32
+ },
33
+ "validation": {
34
+ "RMSE": 398.9125650577839,
35
+ "MAPE": 45.71315056370378,
36
+ "R2": -0.12858512544851664,
37
+ "Pearson": 0.13340394976185144,
38
+ "Spearman": -0.043537417526531924
39
+ },
40
+ "test": {
41
+ "RMSE": 271.5726189605712,
42
+ "MAPE": 3.745327075327219,
43
+ "R2": 0.014219914418068469,
44
+ "Pearson": 0.24278128371606422,
45
+ "Spearman": 0.12015611258152874
46
+ }
47
+ },
48
+ "L2s": {
49
+ "train": {
50
+ "RMSE": 1531383.8279791505,
51
+ "MAPE": 19810.783278938237,
52
+ "R2": 0.947621477028494,
53
+ "Pearson": 0.9946781510761564,
54
+ "Spearman": 0.8192897521104605
55
+ },
56
+ "validation": {
57
+ "RMSE": 563601.5309528504,
58
+ "MAPE": 504885.8641442021,
59
+ "R2": -0.09237611871451112,
60
+ "Pearson": 0.18828889867045975,
61
+ "Spearman": 0.04988084837965572
62
+ },
63
+ "test": {
64
+ "RMSE": 642317.044360282,
65
+ "MAPE": 2460.6251393022717,
66
+ "R2": -1.7859955804724863,
67
+ "Pearson": -0.003884321624411727,
68
+ "Spearman": 0.24450273521761953
69
+ }
70
+ },
71
+ "L2": {
72
+ "train": {
73
+ "RMSE": 831886.2795826319,
74
+ "MAPE": 18244.583821639906,
75
+ "R2": 0.9839453558432785,
76
+ "Pearson": 0.9971379182145141,
77
+ "Spearman": 0.8050235157059096
78
+ },
79
+ "validation": {
80
+ "RMSE": 643589.306794077,
81
+ "MAPE": 351796.3740514822,
82
+ "R2": -0.605778237055657,
83
+ "Pearson": 0.028577667898161574,
84
+ "Spearman": -0.17153854437739363
85
+ },
86
+ "test": {
87
+ "RMSE": 381649.4201905482,
88
+ "MAPE": 2590.939471736229,
89
+ "R2": -0.24788728593104814,
90
+ "Pearson": 0.030408729872825026,
91
+ "Spearman": -0.0837170976761721
92
+ }
93
+ },
94
+ "Lpls": {
95
+ "train": {
96
+ "RMSE": 0.4464721402075541,
97
+ "MAPE": 1.4915828012435641,
98
+ "R2": 0.007922770900885445,
99
+ "Pearson": 0.2802712183313221,
100
+ "Spearman": 0.23937367736277837
101
+ },
102
+ "validation": {
103
+ "RMSE": 0.33408532545094893,
104
+ "MAPE": 6.565820529239881,
105
+ "R2": -0.13130663727629588,
106
+ "Pearson": 0.18349790329292906,
107
+ "Spearman": 0.2988203697144302
108
+ },
109
+ "test": {
110
+ "RMSE": 0.311768743552253,
111
+ "MAPE": 1.3615689174006633,
112
+ "R2": -0.19369797374924902,
113
+ "Pearson": 0.4300681474473227,
114
+ "Spearman": 0.45630664582984165
115
+ }
116
+ },
117
+ "Lpl": {
118
+ "train": {
119
+ "RMSE": 0.22193106114043187,
120
+ "MAPE": 5.780325674395101,
121
+ "R2": 0.3837588309508081,
122
+ "Pearson": 0.9314183305712347,
123
+ "Spearman": 0.8592252091914432
124
+ },
125
+ "validation": {
126
+ "RMSE": 0.21958572692419276,
127
+ "MAPE": 52.591836004405856,
128
+ "R2": -0.010507714870509721,
129
+ "Pearson": 0.23218032107638603,
130
+ "Spearman": 0.14920854492947852
131
+ },
132
+ "test": {
133
+ "RMSE": 0.17292571576733465,
134
+ "MAPE": 3.8686515169256905,
135
+ "R2": -0.10886753086603052,
136
+ "Pearson": 0.21910039098091233,
137
+ "Spearman": 0.08213235419224235
138
+ }
139
+ }
140
+ }