146065
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
0
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
4734.375
usercpu_time_millis_training
4656.25
usercpu_time_millis_training
4546.875
usercpu_time_millis_training
4343.75
usercpu_time_millis_training
4359.375
usercpu_time_millis_training
4875.0
usercpu_time_millis_training
4421.875
usercpu_time_millis_training
4609.375
usercpu_time_millis_training
4437.5
usercpu_time_millis_training
4265.625
wall_clock_time_millis_training
4720.662593841553
wall_clock_time_millis_training
4569.208860397339
wall_clock_time_millis_training
4514.437198638916
wall_clock_time_millis_training
4364.9280071258545
wall_clock_time_millis_training
4246.190547943115
wall_clock_time_millis_training
4951.452016830444
wall_clock_time_millis_training
4238.128423690796
wall_clock_time_millis_training
4555.314779281616
wall_clock_time_millis_training
4388.122081756592
wall_clock_time_millis_training
4226.29451751709
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
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis
4734.375
usercpu_time_millis
4656.25
usercpu_time_millis
4546.875
usercpu_time_millis
4343.75
usercpu_time_millis
4359.375
usercpu_time_millis
4875.0
usercpu_time_millis
4437.5
usercpu_time_millis
4609.375
usercpu_time_millis
4437.5
usercpu_time_millis
4265.625
wall_clock_time_millis_testing
3.9963722229003906
wall_clock_time_millis_testing
6.011724472045898
wall_clock_time_millis_testing
3.9968490600585938
wall_clock_time_millis_testing
4.000425338745117
wall_clock_time_millis_testing
3.9970874786376953
wall_clock_time_millis_testing
3.9985179901123047
wall_clock_time_millis_testing
3.9975643157958984
wall_clock_time_millis_testing
3.0210018157958984
wall_clock_time_millis_testing
3.999471664428711
wall_clock_time_millis_testing
2.9976367950439453
wall_clock_time_millis
4724.658966064453
wall_clock_time_millis
4575.220584869385
wall_clock_time_millis
4518.434047698975
wall_clock_time_millis
4368.9284324646
wall_clock_time_millis
4250.187635421753
wall_clock_time_millis
4955.450534820557
wall_clock_time_millis
4242.125988006592
wall_clock_time_millis
4558.335781097412
wall_clock_time_millis
4392.1215534210205
wall_clock_time_millis
4229.292154312134
predictive_accuracy
0.9836065573770492
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9166666666666666
predictive_accuracy
0.9166666666666666
predictive_accuracy
0.9833333333333333
predictive_accuracy
1.0
predictive_accuracy
0.9166666666666666
predictive_accuracy
0.95
predictive_accuracy
1.0
predictive_accuracy
1.0