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00_data
{"inputs": [], "name": "data", "op": "null"}
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01_hybridsequential0_dense0_weight
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12414
02_hybridsequential0_dense0_bias
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12414
03_hybridsequential0_dense0_fwd
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12414
04_hybridsequential0_dense0_relu_fwd
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12414
05_hybridsequential0_dropout0_fwd
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06_hybridsequential0_dense1_weight
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12414
07_hybridsequential0_dense1_bias
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12414
08_hybridsequential0_dense1_fwd
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12414
09_hybridsequential0_dense1_relu_fwd
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12414
10_hybridsequential0_dropout1_fwd
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11_hybridsequential0_dense2_weight
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12414
12_hybridsequential0_dense2_bias
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12414
13_hybridsequential0_dense2_fwd
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12414
14_hybridsequential0_dense2_relu_fwd
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12414
15_hybridsequential0_dropout2_fwd
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16_hybridsequential0_dense3_weight
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12414
17_hybridsequential0_dense3_bias
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12414
18_hybridsequential0_dense3_fwd
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12414
19_hybridsequential0_dense3_relu_fwd
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12414
20_hybridsequential0_dropout3_fwd
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12414
21_hybridsequential0_dense4_weight
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12414
22_hybridsequential0_dense4_bias
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12414
23_hybridsequential0_dense4_fwd
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12414
24_hybridsequential0_dense4_relu_fwd
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12414
25_hybridsequential0_dropout4_fwd
{"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[24, 0, 0]], "name": "hybridsequential0_dropout4_fwd", "op": "Dropout"}
12414
26_hybridsequential0_dense5_weight
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12414
27_hybridsequential0_dense5_bias
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28_hybridsequential0_dense5_fwd
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29_hybridsequential0_dense5_relu_fwd
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12414
misc
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12414
openml-python
MXNet_1.5.0.
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wall_clock_time_millis_testing
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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mean_absolute_error
43.002041724420366
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
43.75786387125651
mean_absolute_error
34.624550374348956