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
11906.25
usercpu_time_millis_training
11468.75
usercpu_time_millis_training
12640.625
usercpu_time_millis_training
12656.25
usercpu_time_millis_training
14281.25
usercpu_time_millis_training
14453.125
usercpu_time_millis_training
13046.875
usercpu_time_millis_training
11953.125
usercpu_time_millis_training
11750.0
usercpu_time_millis_training
14406.25
wall_clock_time_millis_training
11645.282506942749
wall_clock_time_millis_training
11283.465385437012
wall_clock_time_millis_training
12706.233978271484
wall_clock_time_millis_training
12693.023920059204
wall_clock_time_millis_training
14224.658250808716
wall_clock_time_millis_training
14300.410032272339
wall_clock_time_millis_training
12925.716161727905
wall_clock_time_millis_training
11850.480318069458
wall_clock_time_millis_training
11731.268644332886
wall_clock_time_millis_training
14033.849000930786
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_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
11906.25
usercpu_time_millis
11484.375
usercpu_time_millis
12640.625
usercpu_time_millis
12656.25
usercpu_time_millis
14281.25
usercpu_time_millis
14453.125
usercpu_time_millis
13046.875
usercpu_time_millis
11953.125
usercpu_time_millis
11750.0
usercpu_time_millis
14406.25
wall_clock_time_millis_testing
2.997875213623047
wall_clock_time_millis_testing
3.9949417114257812
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
3.0031204223632812
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
3.999471664428711
wall_clock_time_millis_testing
1.996755599975586
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
2.0008087158203125
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis
11648.280382156372
wall_clock_time_millis
11287.460327148438
wall_clock_time_millis
12708.232402801514
wall_clock_time_millis
12696.027040481567
wall_clock_time_millis
14226.657390594482
wall_clock_time_millis
14304.409503936768
wall_clock_time_millis
12927.71291732788
wall_clock_time_millis
11852.478504180908
wall_clock_time_millis
11733.269453048706
wall_clock_time_millis
14035.848379135132
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