37
19176
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19176
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
19176
verbose
false
19176
memory
null
19156
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
19156
verbose
false
19156
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
copy
true
19075
with_mean
true
19075
with_std
true
19075
activation
"relu"
19177
alpha
0.0001
19177
batch_size
"auto"
19177
beta_1
0.9
19177
beta_2
0.999
19177
early_stopping
false
19177
epsilon
1e-08
19177
hidden_layer_sizes
[100]
19177
learning_rate
"constant"
19177
learning_rate_init
0.001
19177
max_fun
15000
19177
max_iter
5000
19177
momentum
0.9
19177
n_iter_no_change
10
19177
nesterovs_momentum
true
19177
power_t
0.5
19177
random_state
46522
19177
shuffle
true
19177
solver
"adam"
19177
tol
0.0001
19177
validation_fraction
0.1
19177
verbose
false
19177
warm_start
false
19177
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
11968.75
usercpu_time_millis_training
11515.625
usercpu_time_millis_training
12546.875
usercpu_time_millis_training
13000.0
usercpu_time_millis_training
14265.625
usercpu_time_millis_training
14750.0
usercpu_time_millis_training
13000.0
usercpu_time_millis_training
11765.625
usercpu_time_millis_training
11781.25
usercpu_time_millis_training
14171.875
wall_clock_time_millis_training
11712.408304214478
wall_clock_time_millis_training
11167.677402496338
wall_clock_time_millis_training
12524.604797363281
wall_clock_time_millis_training
12655.324220657349
wall_clock_time_millis_training
14226.303100585938
wall_clock_time_millis_training
14494.803190231323
wall_clock_time_millis_training
12750.993967056274
wall_clock_time_millis_training
11823.601961135864
wall_clock_time_millis_training
11840.10124206543
wall_clock_time_millis_training
13992.940187454224
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis
11968.75
usercpu_time_millis
11515.625
usercpu_time_millis
12546.875
usercpu_time_millis
13000.0
usercpu_time_millis
14265.625
usercpu_time_millis
14750.0
usercpu_time_millis
13000.0
usercpu_time_millis
11781.25
usercpu_time_millis
11796.875
usercpu_time_millis
14171.875
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
2.0029544830322266
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
2.981901168823242
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
2.002716064453125
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
3.0210018157958984
wall_clock_time_millis_testing
1.9979476928710938
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis
11714.407682418823
wall_clock_time_millis
11169.68035697937
wall_clock_time_millis
12526.603937149048
wall_clock_time_millis
12658.306121826172
wall_clock_time_millis
14229.301929473877
wall_clock_time_millis
14496.805906295776
wall_clock_time_millis
12752.992391586304
wall_clock_time_millis
11826.62296295166
wall_clock_time_millis
11842.0991897583
wall_clock_time_millis
13995.938539505005
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.6883116883116883
predictive_accuracy
0.6883116883116883
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.6578947368421053
predictive_accuracy
0.6973684210526315