| Priyanka |
316.553 |
0.0275 |
0.0158 |
0.0008 |
| Rashmi |
91.2203 |
0.0044 |
0.0002 |
0.0000 |
| Rekha |
106.717 |
6.0981 |
1747.8059 |
37.1874 |
| SREEVIDYA |
93.1286 |
2.5134 |
574.8455 |
6.3170 |
| Padmaja |
130.676 |
0.0049 |
0.0005 |
0.0000 |
| Geetha2 |
170.722 |
11.4472 |
19000.5565 |
131.0383 |
| AMBUJA |
282.147 |
28.8196 |
61462.0002 |
830.5676 |
| MadhuSudhan |
178.321 |
34.7980 |
125933.5975 |
1210.9000 |
| Nagaraj |
130.0295
RMSE on training |
10.0468
total error |
10800.2925
Mean squared error |
100.9373
|
| G JAGAN |
130.0295
RMSE on training |
10.0468
total error |
10800.2925
Mean squared error |
100.9373
|
| KNN261 |
178.8977
RMSE on training |
97.5615
total error |
3645488.8821
Mean squared error |
9518.2477
|
| cktest |
101.0018
RMSE on training |
35.8201
total error |
82117.0847
Mean squared error |
1283.0794
|
| MadhuSudhan |
130.0295
RMSE on training |
10.0468
total error |
10800.2925
Mean squared error |
100.9373
|
| consol |
239.6208
RMSE on training |
78.5606
total error |
2919249.2341
Mean squared error |
6171.7743
|
| GLUCOSE TESTS |
151.5765
RMSE on training |
23.2539
total error |
37311.4074
Mean squared error |
540.7450
|
| PRE-CL |
101.0018
RMSE on training |
35.8201
total error |
82117.0847
Mean squared error |
1283.0794
|
| mode_p |
121.0423
RMSE on training |
62.1665
total error |
247339.1099
Mean squared error |
3864.6736
|
| Rajaa |
174.2904
RMSE on training |
31.0400
total error |
113690.6988
Mean squared error |
963.4805
|
| KAMALA |
148.2030
RMSE on training |
13.1006
total error |
16476.0303
Mean squared error |
171.6253
|
| Shanth |
110.7009
RMSE on training |
9.1189
total error |
5488.1474
Mean squared error |
83.1537
|
| t |
101.0018
RMSE on training |
35.8201
total error |
82117.0847
Mean squared error |
1283.0794
|
| cktest |
101.0018
RMSE on training |
35.8201
total error |
82117.0847
Mean squared error |
1283.0794
|
| pickle |
101.0018
RMSE on training |
35.8201
total error |
82117.0847
Mean squared error |
1283.0794
|
| pitest |
101.0018
RMSE on training |
35.8201
total error |
82117.0847
Mean squared error |
1283.0794
|
| mode_p |
121.0423
RMSE on training |
62.1665
total error |
247339.1099
Mean squared error |
3864.6736
|
| mode_p |
121.0423
RMSE on training |
62.1665
total error |
247339.1099
Mean squared error |
3864.6736
|
| Low_gl |
108.0754
RMSE on training |
18.7368
total error |
118310.1027
Mean squared error |
351.0686
|
| Con_hi |
180.7832
RMSE on training |
57.3064
total error |
1750386.6491
Mean squared error |
3284.0275
|
| High_g |
224.3865
RMSE on training |
59.8312
total error |
1331674.2787
Mean squared error |
3579.7696
|
| Shashi |
147.2564
RMSE on training |
17.3823
total error |
42904.6083
Mean squared error |
302.1451
|
| Midhun |
101.0018
RMSE on training |
35.8201
total error |
82117.0847
Mean squared error |
1283.0794
|
| trend_ |
121.0423
RMSE on training |
70.6290
total error |
319261.2276
Mean squared error |
4988.4567
|
| t_test |
121.0423
RMSE on training |
62.1665
total error |
247339.1099
Mean squared error |
3864.6736
|
| new_te |
121.0423
RMSE on training |
70.6290
total error |
319261.2276
Mean squared error |
4988.4567
|
| point_ |
101.0018
RMSE on training |
91.5751
total error |
536704.2407
Mean squared error |
8386.0038
|
|
179.9997
RMSE on training |
87.2344
total error |
8827418.5811
Mean squared error |
7609.8436
|
| KNON26 |
179.9997
RMSE on training |
87.2344
total error |
8827418.5811
Mean squared error |
7609.8436
|
| Con_hi |
101.0018
RMSE on training |
304.1242
total error |
10914000.9155
Mean squared error |
92491.5332
|
| Con_hi |
101.0018
RMSE on training |
304.1242
total error |
10914000.9155
Mean squared error |
92491.5332
|
| testpy |
101.0018
RMSE on training |
225.2107
total error |
11614844.3560
Mean squared error |
50719.8443
|
| pytest |
101.0018
RMSE on training |
98.5804
total error |
2225443.1079
Mean squared error |
9718.0922
|
| pydata |
170.2109
RMSE on training |
82.7470
total error |
1567978.9529
Mean squared error |
6847.0697
|
| baseda |
170.0353
RMSE on training |
69.8702
total error |
1117943.5596
Mean squared error |
4881.8496
|
| trialb |
164.5736
RMSE on training |
67.4732
total error |
1356685.9789
Mean squared error |
4552.6375
|
| KNR261 |
168.4863
RMSE on training |
165.0028
total error |
2069169.5324
Mean squared error |
27225.9149
|
| datael |
108.5966
RMSE on training |
13.6690
total error |
26718.1981
Mean squared error |
186.8405
|
| base-d |
204.0282
RMSE on training |
59.9877
total error |
852850.7954
Mean squared error |
3598.5266
|
|
|
|
|
|
| data_u |
160.9060
RMSE on training |
75.9380
total error |
2958253.8625
Mean squared error |
5766.5767
|
| KNRO26 |
167.3393
RMSE on training |
73.9496
total error |
1252297.4877
Mean squared error |
5468.5480
|
| kn_tes |
167.8706
RMSE on training |
81.8907
total error |
5834290.9605
Mean squared error |
6706.0816
|
| Kan_Ra |
167.8706
RMSE on training |
81.8907
total error |
5834290.9605
Mean squared error |
6706.0816
|
| kanv_r |
164.9450
RMSE on training |
74.7516
total error |
1279608.1336
Mean squared error |
5587.8084
|
| kanv_n |
167.8706
RMSE on training |
81.8907
total error |
5834290.9605
Mean squared error |
6706.0816
|
| KN2011 |
122.8366
RMSE on training |
6.8711
total error |
8073.3689
Mean squared error |
47.2127
|
| KN20No |
98.5130
RMSE on training |
7.7355
total error |
14002.1708
Mean squared error |
59.8383
|
| KN20HI |
167.5530
RMSE on training |
18.0076
total error |
81392.6382
Mean squared error |
324.2735
|
| KN20VH |
300.3823
RMSE on training |
60.7992
total error |
791060.2853
Mean squared error |
3696.5434
|
| KNT211 |
165.1610
RMSE on training |
81.4547
total error |
3616004.7767
Mean squared error |
6634.8711
|
| KNRC26 |
179.9997
RMSE on training |
87.2344
total error |
8827418.5811
Mean squared error |
7609.8436
|
| Co_Tes |
179.9997
RMSE on training |
87.2344
total error |
8827418.5811
Mean squared error |
7609.8436
|
| coo_re |
101.0018
RMSE on training |
35.8201
total error |
82117.0847
Mean squared error |
1283.0794
|
| KNRC26 |
101.0018
RMSE on training |
228.8688
total error |
11995234.4162
Mean squared error |
52380.9363
|
| KNNC27 |
101.0018
RMSE on training |
549.7537
total error |
350585751.6840
Mean squared error |
302229.0963
|
| testco |
101.0018
RMSE on training |
549.7537
total error |
350585751.6840
Mean squared error |
302229.0963
|
| c0test |
101.0018
RMSE on training |
549.7537
total error |
350585751.6840
Mean squared error |
302229.0963
|
| KRC281 |
168.4863
RMSE on training |
165.0028
total error |
2069169.5324
Mean squared error |
27225.9149
|
| KNC281 |
178.8977
RMSE on training |
97.5615
total error |
3645488.8821
Mean squared error |
9518.2477
|
| KN2811 |
178.8977
RMSE on training |
97.5615
total error |
3645488.8821
Mean squared error |
9518.2477
|
| KRC301 |
168.4863
RMSE on training |
165.0028
total error |
2069169.5324
Mean squared error |
27225.9149
|
| Anatha |
168.4863
RMSE on training |
165.0028
total error |
2069169.5324
Mean squared error |
27225.9149
|
| Pppp |
168.4863
RMSE on training |
165.0028
total error |
2069169.5324
Mean squared error |
27225.9149
|
| CONSOL |
168.4863
RMSE on training |
165.0028
total error |
2069169.5324
Mean squared error |
27225.9149
|
| Shanth |
|
|
|
|
| KRNo21 |
168.4863
RMSE on training |
165.0028
total error |
2069169.5324
Mean squared error |
27225.9149
|
| KNNo21 |
178.8977
RMSE on training |
97.5615
total error |
3645488.8821
Mean squared error |
9518.2477
|
| testno |
178.8977
RMSE on training |
97.5615
total error |
3645488.8821
Mean squared error |
9518.2477
|
| testno |
112.2069
RMSE on training |
22.8183
total error |
102572.9335
Mean squared error |
520.6748
|
| normal |
112.2069
RMSE on training |
22.8183
total error |
102572.9335
Mean squared error |
520.6748
|
| test2n |
240.7999
RMSE on training |
255.2154
total error |
12180226.3552
Mean squared error |
65134.9003
|
| Rakesh |
240.7999
RMSE on training |
255.2154
total error |
12180226.3552
Mean squared error |
65134.9003
|
| chck1 |
240.7999
RMSE on training |
255.2154
total error |
12180226.3552
Mean squared error |
65134.9003
|
|
240.7999
RMSE on training |
255.2154
total error |
12180226.3552
Mean squared error |
65134.9003
|
| Shashi |
|
|
|
|
| Datl_1 |
110.8978
RMSE on training |
33.6563
total error |
120070.9112
Mean squared error |
1132.7444
|
| DatMor |
254.3501
RMSE on training |
287.0625
total error |
5933149.9193
Mean squared error |
82404.8600
|
| KRT412 |
|
|
|
|
| KRT412 |
|
|
|
|
| KRT412 |
|
|
|
|
| saa |
|
|
|
|
| KRT129 |
164.4856
RMSE on training |
85.1527
total error |
3436961.6566
Mean squared error |
7250.9740
|
| KRB101 |
118.5422
RMSE on training |
9.7520
total error |
23014.6728
Mean squared error |
95.1020
|
| KRB141 |
171.3043
RMSE on training |
20.1132
total error |
73222.2420
Mean squared error |
404.5428
|
| KRB225 |
171.3043
RMSE on training |
20.1132
total error |
73222.2420
Mean squared error |
404.5428
|
| KRB225 |
296.9081
RMSE on training |
57.7368
total error |
393357.5464
Mean squared error |
3333.5385
|
| KRN100 |
183.4727
RMSE on training |
177.7811
total error |
4962163.2683
Mean squared error |
31606.1355
|
| KRN101 |
118.9563
RMSE on training |
25.6553
total error |
52655.5708
Mean squared error |
658.1946
|
| KRN141 |
172.6531
RMSE on training |
61.1656
total error |
224473.7586
Mean squared error |
3741.2293
|
| KRN225 |
172.6531
RMSE on training |
61.1656
total error |
224473.7586
Mean squared error |
3741.2293
|
| KRN225 |
283.0571
RMSE on training |
181.4105
total error |
1283480.4017
Mean squared error |
32909.7539
|
| KNB100 |
89.2300
RMSE on training |
27.6746
total error |
53612.0007
Mean squared error |
765.8857
|
| KNB101 |
117.0944
RMSE on training |
19.3209
total error |
56741.3802
Mean squared error |
373.2986
|
| KNR100 |
89.1679
RMSE on training |
16.6570
total error |
16092.4671
Mean squared error |
277.4563
|
| KNB100 |
88.6911
RMSE on training |
7.3180
total error |
9371.9245
Mean squared error |
53.5539
|
| KNN141 |
175.2034
RMSE on training |
36.6844
total error |
204553.0078
Mean squared error |
1345.7435
|
| KNN255 |
316.1255
RMSE on training |
918.6457
total error |
91986182.7627
Mean squared error |
843909.9336
|
| KNB100 |
90.7049
RMSE on training |
6.2799
total error |
8360.7874
Mean squared error |
39.4377
|
| KBN101 |
116.8193
RMSE on training |
10.3867
total error |
49411.0641
Mean squared error |
107.8844
|
| KBN140 |
174.1159
RMSE on training |
21.7120
total error |
216849.5383
Mean squared error |
471.4120
|
| KBN225 |
317.8022
RMSE on training |
72.9560
total error |
1745807.5371
Mean squared error |
5322.5840
|
| KRALLD |
145.1816
RMSE on training |
75.6688
total error |
4174080.9569
Mean squared error |
5725.7626
|
| KBALLD |
180.7005
RMSE on training |
88.0483
total error |
11241142.0694
Mean squared error |
7752.5118
|
| KRALLN |
134.7601
RMSE on training |
113.3337
total error |
3095531.0928
Mean squared error |
12844.5274
|
| KNNALL |
180.0156
RMSE on training |
97.9769
total error |
4598146.7007
Mean squared error |
9599.4712
|
| RN-N15 |
173.3875
RMSE on training |
398.3436
total error |
114247888.1676
Mean squared error |
158677.6225
|
| RN-N10 |
117.7696
RMSE on training |
15.4757
total error |
55563.5112
Mean squared error |
239.4979
|
| RNN100 |
174.5471
RMSE on training |
113.6123
total error |
9293590.6167
Mean squared error |
12907.7647
|
| RN-N14 |
173.6761
RMSE on training |
28.7519
total error |
176081.6871
Mean squared error |
826.6746
|
| RNN225 |
316.9567
RMSE on training |
112.2359
total error |
1864342.1753
Mean squared error |
12596.9066
|
| NRB100 |
171.5288
RMSE on training |
86.4824
total error |
16297182.2670
Mean squared error |
7479.2025
|
| NRB101 |
117.5792
RMSE on training |
10.8889
total error |
83116.5097
Mean squared error |
118.5685
|
| NRB141 |
173.4977
RMSE on training |
22.2687
total error |
318860.3056
Mean squared error |
495.8947
|
| NRB225 |
312.0523
RMSE on training |
75.5985
total error |
2548948.4892
Mean squared error |
5715.1311
|
| N-RB10 |
171.5288
RMSE on training |
86.4824
total error |
16297182.2670
Mean squared error |
7479.2025
|
| ALLPIC |
101.0018
RMSE on training |
578.8945
total error |
730223917.9984
Mean squared error |
335118.8242
|
| newall |
171.5288
RMSE on training |
86.4824
total error |
16297182.2670
Mean squared error |
7479.2025
|
| les100 |
90.0579
RMSE on training |
7.4386
total error |
21524.3434
Mean squared error |
55.3325
|
| len100 |
91.0840
RMSE on training |
13.5646
total error |
23735.7044
Mean squared error |
183.9977
|
| testno |
504.0596
RMSE on training |
82.0694
total error |
181855.4902
Mean squared error |
6735.3885
|
| DA2912 |
168.5961
RMSE on training |
243.1775
total error |
12063602.1390
Mean squared error |
59135.3046
|
| DAB291 |
169.2913
RMSE on training |
20.0173
total error |
247628.9816
Mean squared error |
400.6941
|
| ACDN33 |
170.3892
RMSE on training |
89.9160
total error |
6605359.1065
Mean squared error |
8084.8949
|
| pulsed |
135.3949
RMSE on training |
71.0117
total error |
1129557.3413
Mean squared error |
5042.6667
|
| Alsysd |
167.8881
RMSE on training |
83.9840
total error |
17449913.3269
Mean squared error |
7053.3199
|
| PULNDA |
153.9172
RMSE on training |
101.2027
total error |
757906.3539
Mean squared error |
10241.9778
|
| TESTN2 |
170.0606
RMSE on training |
90.2004
total error |
5036253.9729
Mean squared error |
8136.1130
|
| TEPU25 |
139.4216
RMSE on training |
105.6228
total error |
624745.5118
Mean squared error |
11156.1699
|
| TEAC40 |
169.2448
RMSE on training |
89.1678
total error |
7871380.1044
Mean squared error |
7950.8890
|
| TEPU40 |
186.2968
RMSE on training |
100.5302
total error |
909568.4155
Mean squared error |
10106.3157
|
| adtest |
168.0882
RMSE on training |
79.8617
total error |
31889.4689
Mean squared error |
6377.8938
|
| adpul1 |
136.3211
RMSE on training |
41.1506
total error |
8466.8644
Mean squared error |
1693.3729
|
| adtes1 |
168.1581
RMSE on training |
74.9129
total error |
33671.6405
Mean squared error |
5611.9401
|
| adpul2 |
104.7089
RMSE on training |
102.5493
total error |
63098.1550
Mean squared error |
10516.3592
|
| adtes2 |
168.1717
RMSE on training |
69.5719
total error |
33881.7108
Mean squared error |
4840.2444
|
| adpul3 |
104.7911
RMSE on training |
98.5335
total error |
67961.9156
Mean squared error |
9708.8451
|
| adtes3 |
168.1972
RMSE on training |
68.3342
total error |
37356.4747
Mean squared error |
4669.5593
|
| adpul4 |
105.5587
RMSE on training |
102.9371
total error |
84768.3726
Mean squared error |
10596.0466
|
| BGBVAL |
167.4883
RMSE on training |
15.6355
total error |
138369.1626
Mean squared error |
244.4685
|
| BGN5V- |
169.5412
RMSE on training |
102.5362
total error |
2975371.3267
Mean squared error |
10513.6796
|
| BGN06V |
169.6769
RMSE on training |
172.5559
total error |
10123678.1557
Mean squared error |
29775.5240
|
| BGN07V |
165.9998
RMSE on training |
237.6599
total error |
22423446.4032
Mean squared error |
56482.2328
|
| BGN08V |
167.0867
RMSE on training |
136.9089
total error |
8491047.7224
Mean squared error |
18744.0347
|
| BGN25V |
167.4567
RMSE on training |
24.0701
total error |
82270.7801
Mean squared error |
579.3717
|
| BGN33V |
167.4567
RMSE on training |
24.0701
total error |
82270.7801
Mean squared error |
579.3717
|
| BGN33V |
167.4648
RMSE on training |
23.4876
total error |
103161.7017
Mean squared error |
551.6669
|
| BGN40V |
168.5211
RMSE on training |
47.6831
total error |
516124.5630
Mean squared error |
2273.6765
|
| PULS5D |
180.0925
RMSE on training |
115.8909
total error |
1504238.4177
Mean squared error |
13430.7002
|
| PULS6D |
222.7135
RMSE on training |
93.9485
total error |
1191552.6298
Mean squared error |
8826.3158
|
| PULS7D |
94.2984
RMSE on training |
122.2292
total error |
2345576.7414
Mean squared error |
14939.9792
|
| PULS8D |
29.0649
RMSE on training |
147.9971
total error |
3942567.8494
Mean squared error |
21903.1547
|
| PULS25 |
139.4216
RMSE on training |
105.6228
total error |
624745.5118
Mean squared error |
11156.1699
|
| PULS40 |
186.2968
RMSE on training |
100.5302
total error |
909568.4155
Mean squared error |
10106.3157
|
| PULS33 |
153.9172
RMSE on training |
101.2027
total error |
757906.3539
Mean squared error |
10241.9778
|
| PULSBP |
135.3949
RMSE on training |
71.0117
total error |
1129557.3413
Mean squared error |
5042.6667
|
| CANBAS |
167.8881
RMSE on training |
83.9840
total error |
17449913.3269
Mean squared error |
7053.3199
|
| CAN05D |
165.6078
RMSE on training |
91.7091
total error |
10403860.9052
Mean squared error |
8410.5585
|
| CAN06D |
164.9208
RMSE on training |
89.7512
total error |
11962093.4571
Mean squared error |
8055.2818
|
| CAN07D |
165.1495
RMSE on training |
91.1590
total error |
14392854.8516
Mean squared error |
8309.9624
|
| CAN08D |
162.6005
RMSE on training |
461.0727
total error |
420924240.5208
Mean squared error |
212588.0003
|
| CAN25D |
170.0606
RMSE on training |
90.2004
total error |
5036253.9729
Mean squared error |
8136.1130
|
| BGN15V |
167.3472
RMSE on training |
22.7654
total error |
44052.2342
Mean squared error |
518.2616
|
| PULS15 |
132.3307
RMSE on training |
127.3711
total error |
730052.7260
Mean squared error |
16223.3939
|
| BGN20V |
166.8713
RMSE on training |
25.3451
total error |
73230.8416
Mean squared error |
642.3758
|
| PULS20 |
132.3307
RMSE on training |
127.3711
total error |
730052.7260
Mean squared error |
16223.3939
|
| GLUC15 |
122.5279
RMSE on training |
125.7939
total error |
1281752.9621
Mean squared error |
15824.1106
|
| GLUC18 |
120.9250
RMSE on training |
116.9398
total error |
1340141.1964
Mean squared error |
13674.9102
|
| GLUCBA |
131.5432
RMSE on training |
75.0838
total error |
3044293.1888
Mean squared error |
5637.5800
|
| GLUC33 |
94.3794
RMSE on training |
110.4524
total error |
2183753.8831
Mean squared error |
12199.7424
|
| GREN33 |
163.1902
RMSE on training |
80.0777
total error |
1135002.0682
Mean squared error |
6412.4411
|
| GRENBA |
162.2040
RMSE on training |
79.0870
total error |
3340034.2626
Mean squared error |
6254.7458
|
| GREN18 |
162.3930
RMSE on training |
77.7472
total error |
586328.7269
Mean squared error |
6044.6261
|
| GREN15 |
162.3930
RMSE on training |
77.7472
total error |
586328.7269
Mean squared error |
6044.6261
|
| GRE15D |
163.3062
RMSE on training |
76.8589
total error |
478490.6242
Mean squared error |
5907.2917
|
| CONBAS |
168.1144
RMSE on training |
94.0726
total error |
5831926.9092
Mean squared error |
8849.6615
|
| CONS18 |
167.5990
RMSE on training |
95.4115
total error |
7200753.3254
Mean squared error |
9103.3544
|
| CONS25 |
169.2338
RMSE on training |
123.8083
total error |
16830696.4928
Mean squared error |
15328.5032
|
| CONS33 |
172.0952
RMSE on training |
102.2681
total error |
18376065.8728
Mean squared error |
10458.7740
|
| CBCONV |
167.5932
RMSE on training |
86.5840
total error |
32925875.5148
Mean squared error |
7496.7840
|
| BCON18 |
|
|
|
|
| NCON05 |
168.1733
RMSE on training |
99.9649
total error |
2198454.8839
Mean squared error |
9992.9767
|
| NR0.01 |
167.9465
RMSE on training |
119.8604
total error |
632127.1987
Mean squared error |
14366.5272
|
| N0.009 |
167.9625
RMSE on training |
124.5206
total error |
620215.6837
Mean squared error |
15505.3921
|
| NO.008 |
167.8389
RMSE on training |
117.6029
total error |
497896.2351
Mean squared error |
13830.4510
|
| NO.005 |
167.7721
RMSE on training |
141.7095
total error |
441795.0227
Mean squared error |
20081.5919
|
| INT005 |
206.9886
RMSE on training |
196.7256
total error |
232205.7976
Mean squared error |
38700.9663
|
| INT008 |
206.6363
RMSE on training |
175.2302
total error |
276350.6039
Mean squared error |
30705.6227
|
| INT009 |
206.8143
RMSE on training |
167.9809
total error |
310393.3039
Mean squared error |
28217.5731
|
| INT009 |
206.8143
RMSE on training |
167.9809
total error |
310393.3039
Mean squared error |
28217.5731
|
| INT001 |
206.5709
RMSE on training |
165.6649
total error |
329338.4749
Mean squared error |
27444.8729
|
| IN0.05 |
207.4790
RMSE on training |
139.0598
total error |
1082906.4421
Mean squared error |
19337.6150
|
| IN0BAS |
207.5981
RMSE on training |
112.1631
total error |
14014743.6463
Mean squared error |
12580.5598
|
| INT015 |
206.9833
RMSE on training |
126.3634
total error |
2682575.0138
Mean squared error |
15967.7084
|
| INT020 |
206.2932
RMSE on training |
133.3553
total error |
3965748.1719
Mean squared error |
17783.6241
|
| INT25- |
209.5526
RMSE on training |
139.7912
total error |
5452103.7711
Mean squared error |
19541.5906
|
| INT033 |
210.3997
RMSE on training |
144.3357
total error |
7666466.9133
Mean squared error |
20832.7905
|
| INT080 |
212.4195
RMSE on training |
212.4017
total error |
40242099.4363
Mean squared error |
45114.4613
|
| MIN0.0 |
166.7990
RMSE on training |
96.7532
total error |
2059459.6695
Mean squared error |
9361.1803
|
| MIN001 |
167.3698
RMSE on training |
87.5317
total error |
337118.8272
Mean squared error |
7661.7915
|
| MIN009 |
167.3966
RMSE on training |
80.5989
total error |
259847.2909
Mean squared error |
6496.1823
|
| MIN008 |
167.3987
RMSE on training |
73.6450
total error |
195249.2087
Mean squared error |
5423.5891
|
| MIN05D |
167.4515
RMSE on training |
85.0662
total error |
159197.6741
Mean squared error |
7236.2579
|
| MINN2- |
169.8712
RMSE on training |
150.2715
total error |
24794520.7666
Mean squared error |
22581.5308
|
| MIN-40 |
172.9270
RMSE on training |
164.1881
total error |
47364723.4604
Mean squared error |
26957.7254
|
| MII-33 |
172.4476
RMSE on training |
213.6879
total error |
66210664.3236
Mean squared error |
45662.5271
|
| MIBASE |
167.5932
RMSE on training |
86.5840
total error |
32925875.5148
Mean squared error |
7496.7840
|
| FEBCOM |
167.5932
RMSE on training |
86.5840
total error |
32925875.5148
Mean squared error |
7496.7840
|
|
|
|
|
|
| OXIMBD |
125.1245
RMSE on training |
87.2320
total error |
7365927.5838
Mean squared error |
7609.4293
|
| OXIM05 |
130.6034
RMSE on training |
149.8655
total error |
1100523.3242
Mean squared error |
22459.6597
|
| OXIM01 |
130.6034
RMSE on training |
149.8655
total error |
1100523.3242
Mean squared error |
22459.6597
|
| OXIM09 |
125.3616
RMSE on training |
112.1106
total error |
113119.0410
Mean squared error |
12568.7823
|
| OXIM08 |
125.6956
RMSE on training |
117.0272
total error |
109562.9904
Mean squared error |
13695.3738
|
| OX005D |
124.9092
RMSE on training |
69.5680
total error |
24198.5516
Mean squared error |
4839.7103
|
| OXIM25 |
124.9092
RMSE on training |
69.5680
total error |
24198.5516
Mean squared error |
4839.7103
|
| oxim40 |
124.9092
RMSE on training |
69.5680
total error |
24198.5516
Mean squared error |
4839.7103
|
| OXIM33 |
124.9092
RMSE on training |
69.5680
total error |
24198.5516
Mean squared error |
4839.7103
|
| OX25MD |
131.6846
RMSE on training |
188.4800
total error |
8596983.0855
Mean squared error |
35524.7235
|
| OXMD40 |
134.0380
RMSE on training |
159.3702
total error |
9854763.3568
Mean squared error |
25398.8746
|
| OX33MD |
128.0470
RMSE on training |
162.3318
total error |
8432516.5739
Mean squared error |
26351.6143
|
| testri |
|
|
|
|
| testri |
|
|
|
|
| testri |
|
|
|
|
| testri |
174.2904
RMSE on training |
31.0400
total error |
113690.6988
Mean squared error |
963.4805
|
| elebef |
165.4064
RMSE on training |
87.4967
total error |
49585765.4612
Mean squared error |
7655.6686
|
| eleaft |
171.6873
RMSE on training |
14.2668
total error |
1318129.2678
Mean squared error |
203.5407
|
| EleB15 |
166.6505
RMSE on training |
95.4539
total error |
8856326.9305
Mean squared error |
9111.4475
|
| EleA15 |
171.7104
RMSE on training |
15.5237
total error |
234238.6879
Mean squared error |
240.9863
|
| Eleb33 |
165.7156
RMSE on training |
112.9574
total error |
27279556.9636
Mean squared error |
12759.3812
|
| EleA33 |
171.7326
RMSE on training |
19.7237
total error |
831731.8843
Mean squared error |
389.0233
|
| RAJ-NB |
153.5096
RMSE on training |
84.8575
total error |
33505261.7307
Mean squared error |
7200.7870
|
| NAG-NB |
171.9843
RMSE on training |
88.2302
total error |
33240108.8635
Mean squared error |
7784.5688
|
| CONSNB |
161.3436
RMSE on training |
87.0206
total error |
67570187.4741
Mean squared error |
7572.5863
|
| EL-DAT |
148.5929
RMSE on training |
31.0007
total error |
8561919.1031
Mean squared error |
961.0415
|
| GRTBAS |
244.4743
RMSE on training |
84.6781
total error |
23999289.8776
Mean squared error |
7170.3884
|
| LESSBA |
114.4044
RMSE on training |
21.3135
total error |
2520709.2829
Mean squared error |
454.2637
|
| GRTAEL |
175.3558
RMSE on training |
24.2085
total error |
2074033.2286
Mean squared error |
586.0506
|
| LESAEL |
175.3558
RMSE on training |
24.2085
total error |
2074033.2286
Mean squared error |
586.0506
|
| LSS-AL |
143.0358
RMSE on training |
5.3096
total error |
150910.6143
Mean squared error |
28.1918
|
|
143.0358
RMSE on training |
5.3096
total error |
150910.6143
Mean squared error |
28.1918
|
| CD-C26 |
|
|
|
|
| CD-C26 |
144.7397
RMSE on training |
28.8665
total error |
7411151.9358
Mean squared error |
833.2755
|
| CD-26- |
144.7397
RMSE on training |
28.8665
total error |
7411151.9358
Mean squared error |
833.2755
|
| AELADC |
325.3978
RMSE on training |
10.4032
total error |
69697.8404
Mean squared error |
108.2265
|
| POSADC |
316.1283
RMSE on training |
7.9384
total error |
19598.5477
Mean squared error |
63.0178
|
| NEGADC |
316.1283
RMSE on training |
7.9384
total error |
19598.5477
Mean squared error |
63.0178
|
| NEGCOE |
316.1283
RMSE on training |
7.9384
total error |
19598.5477
Mean squared error |
63.0178
|
| Rakesh |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| NF-245 |
|
|
|
|
| NF-245 |
|
|
|
|
| NF-245 |
|
|
|
|
| NF-245 |
162.1025
RMSE on training |
2.1397
total error |
17873.0129
Mean squared error |
4.5781
|
| NF-335 |
162.1025
RMSE on training |
2.1397
total error |
17873.0129
Mean squared error |
4.5781
|
| NF-225 |
162.1190
RMSE on training |
2.2956
total error |
15588.0936
Mean squared error |
5.2698
|
| NF2-25 |
162.1190
RMSE on training |
2.2956
total error |
15588.0936
Mean squared error |
5.2698
|
| NF2-05 |
162.1221
RMSE on training |
2.1249
total error |
26707.3263
Mean squared error |
4.5152
|
| NF025 |
162.1190
RMSE on training |
2.2956
total error |
15588.0936
Mean squared error |
5.2698
|
| NF2-15 |
162.1229
RMSE on training |
2.5928
total error |
11933.0336
Mean squared error |
6.7228
|
| TRA-33 |
162.1666
RMSE on training |
86.0869
total error |
28932342.3546
Mean squared error |
7410.9483
|
|
|
|
|
|
| c6-9te |
166.1767
RMSE on training |
12.4436
total error |
1831638.1149
Mean squared error |
154.8430
|
|
|
|
|
|
| consol |
|
|
|
|
| ads-c1 |
161.8326
RMSE on training |
85.9787
total error |
87443879.5648
Mean squared error |
7392.3307
|
| ng-g-1 |
96.4758
RMSE on training |
10.0636
total error |
398321.1453
Mean squared error |
101.2767
|
| pr-dbt |
132.4437
RMSE on training |
14.6612
total error |
771460.0151
Mean squared error |
214.9512
|
| HG-GLU |
199.0534
RMSE on training |
25.9389
total error |
1754061.4926
Mean squared error |
672.8276
|
| VH-GLU |
331.1802
RMSE on training |
75.6245
total error |
9722400.9713
Mean squared error |
5719.0594
|
|
|
|
|
|
|
|
|
|
|
| pramod |
166.1767
RMSE on training |
12.4436
total error |
1831638.1149
Mean squared error |
154.8430
|
| Pramod |
163.2758
RMSE on training |
6.7452
total error |
166023.0047
Mean squared error |
45.4982
|
| Pramod |
163.2758
RMSE on training |
6.7452
total error |
166023.0047
Mean squared error |
45.4982
|
| Pramod |
163.2195
RMSE on training |
6.6217
total error |
484808.9480
Mean squared error |
43.8463
|
| Pramod |
159.8085
RMSE on training |
4.4860
total error |
140448.5061
Mean squared error |
20.1244
|
| Pramod |
165.1276
RMSE on training |
8.7398
total error |
311492.5277
Mean squared error |
76.3837
|
| Pramod |
160.0536
RMSE on training |
4.6212
total error |
49203.8360
Mean squared error |
21.3558
|
| Pramod |
164.7003
RMSE on training |
9.4537
total error |
120295.8572
Mean squared error |
89.3729
|
| Pramod |
|
|
|
|
| Pramod |
|
|
|
|
| Pramod |
160.0536
RMSE on training |
4.6212
total error |
49203.8360
Mean squared error |
21.3558
|
| Pramod |
159.3223
RMSE on training |
5.2179
total error |
31528.1048
Mean squared error |
27.2263
|
| Pramod |
167.4685
RMSE on training |
5.5179
total error |
19151.4446
Mean squared error |
30.4474
|
| Pramod |
166.9927
RMSE on training |
11.3099
total error |
91714.5462
Mean squared error |
127.9143
|
| Pramod |
166.9927
RMSE on training |
11.3099
total error |
91714.5462
Mean squared error |
127.9143
|
| Pramod |
166.9927
RMSE on training |
11.3099
total error |
91714.5462
Mean squared error |
127.9143
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| pramod |
167.5498
RMSE on training |
5.0391
total error |
48398.9706
Mean squared error |
25.3930
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| pramod |
159.2760
RMSE on training |
5.1000
total error |
91217.9354
Mean squared error |
26.0102
|
| Pramod |
331.1802
RMSE on training |
75.6245
total error |
9722400.9713
Mean squared error |
5719.0594
|
| Pramod |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| Pramod |
199.0534
RMSE on training |
25.9389
total error |
1754061.4926
Mean squared error |
672.8276
|
| Pramod |
167.5498
RMSE on training |
5.0391
total error |
48398.9706
Mean squared error |
25.3930
|
| Pramod |
132.4437
RMSE on training |
14.6612
total error |
771460.0151
Mean squared error |
214.9512
|
| Pramod |
132.4437
RMSE on training |
14.6612
total error |
771460.0151
Mean squared error |
214.9512
|
| Pramod |
159.2760
RMSE on training |
5.1000
total error |
91217.9354
Mean squared error |
26.0102
|
| Pramod |
96.4758
RMSE on training |
10.0636
total error |
398321.1453
Mean squared error |
101.2767
|
| Pramod |
153.2841
RMSE on training |
3.4136
total error |
40458.1754
Mean squared error |
11.6527
|
| dt-163 |
|
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| dt-g64 |
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| dt-g64 |
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|
| vgh-21 |
165.9115
RMSE on training |
10.1772
total error |
224965.4884
Mean squared error |
103.5753
|
| pdb-21 |
159.2760
RMSE on training |
5.1000
total error |
91217.9354
Mean squared error |
26.0102
|
| Pramod |
153.2841
RMSE on training |
3.4136
total error |
40458.1754
Mean squared error |
11.6527
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| Pramod |
167.5498
RMSE on training |
5.0391
total error |
48398.9706
Mean squared error |
25.3930
|
| Pramod |
97.0647
RMSE on training |
8.4609
total error |
274751.0245
Mean squared error |
71.5870
|
| Pramod |
57.5279
RMSE on training |
5.7066
total error |
3093.7452
Mean squared error |
32.5657
|
| Pramod |
249.0925
RMSE on training |
83.6427
total error |
30132228.5554
Mean squared error |
6996.1060
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| Pramod |
57.5279
RMSE on training |
5.7066
total error |
3093.7452
Mean squared error |
32.5657
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