2295
10907
children
[{"oml-python:serialized_object": "component_reference", "value": {"key": "0", "step_name": "0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "1", "step_name": "1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "2", "step_name": "2"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "3", "step_name": "3"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "4", "step_name": "4"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "5", "step_name": "5"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "6", "step_name": "6"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "7", "step_name": "7"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "8", "step_name": "8"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "9", "step_name": "9"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "10", "step_name": "10"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "11", "step_name": "11"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "12", "step_name": "12"}}]
10907
in_features
13
10908
out_features
256
10908
inplace
false
10909
negative_slope
0.01
10909
inplace
false
10910
p
0.5
10910
in_features
256
10911
out_features
256
10911
inplace
false
10912
negative_slope
0.01
10912
inplace
false
10913
p
0.5
10913
in_features
256
10914
out_features
256
10914
inplace
false
10915
negative_slope
0.01
10915
inplace
false
10916
p
0.5
10916
in_features
256
10917
out_features
256
10917
inplace
false
10918
negative_slope
0.01
10918
inplace
false
10919
p
0.5
10919
in_features
256
10920
out_features
1
10920
openml-python
Torch_1.0.1.
wall_clock_time_millis_training
1771.9988822937012
wall_clock_time_millis_training
1961.0025882720947
wall_clock_time_millis_training
2060.6627464294434
wall_clock_time_millis_training
2139.2712593078613
wall_clock_time_millis_training
1579.0791511535645
wall_clock_time_millis_training
1550.1244068145752
wall_clock_time_millis_training
1584.1214656829834
wall_clock_time_millis_training
1718.8796997070312
wall_clock_time_millis_training
1625.5302429199219
wall_clock_time_millis_training
1594.0029621124268
wall_clock_time_millis_testing
1.0001659393310547
wall_clock_time_millis_testing
9.998559951782227
wall_clock_time_millis_testing
0.99945068359375
wall_clock_time_millis_testing
0.9999275207519531
wall_clock_time_millis_testing
1.0023117065429688
wall_clock_time_millis_testing
1.0118484497070312
wall_clock_time_millis_testing
0.9973049163818359
wall_clock_time_millis_testing
1.001119613647461
wall_clock_time_millis_testing
0.9996891021728516
wall_clock_time_millis_testing
0.9987354278564453
wall_clock_time_millis
1772.9990482330322
wall_clock_time_millis
1971.001148223877
wall_clock_time_millis
2061.662197113037
wall_clock_time_millis
2140.2711868286133
wall_clock_time_millis
1580.0814628601074
wall_clock_time_millis
1551.1362552642822
wall_clock_time_millis
1585.1187705993652
wall_clock_time_millis
1719.8808193206787
wall_clock_time_millis
1626.5299320220947
wall_clock_time_millis
1595.0016975402832
mean_absolute_error
48.697291712607104
mean_absolute_error
49.573860906785534
mean_absolute_error
49.2533446281187
mean_absolute_error
50.309286499023436
mean_absolute_error
31.388848368326823
mean_absolute_error
55.75844879150391
mean_absolute_error
51.304081726074216
mean_absolute_error
43.82535858154297
mean_absolute_error
47.51400502522787
mean_absolute_error
39.602542622884116