9983
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
95078.125
usercpu_time_millis_training
114421.875
usercpu_time_millis_training
86796.875
usercpu_time_millis_training
111281.25
usercpu_time_millis_training
68718.75
usercpu_time_millis_training
118500.0
usercpu_time_millis_training
122765.625
usercpu_time_millis_training
118843.75
usercpu_time_millis_training
84765.625
usercpu_time_millis_training
144312.5
wall_clock_time_millis_training
80082.79943466187
wall_clock_time_millis_training
97421.43225669861
wall_clock_time_millis_training
72824.15461540222
wall_clock_time_millis_training
89108.7384223938
wall_clock_time_millis_training
57778.92303466797
wall_clock_time_millis_training
102138.62752914429
wall_clock_time_millis_training
100926.67365074158
wall_clock_time_millis_training
104880.94186782837
wall_clock_time_millis_training
74335.20746231079
wall_clock_time_millis_training
113562.5193119049
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
62.5
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
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis
95078.125
usercpu_time_millis
114484.375
usercpu_time_millis
86796.875
usercpu_time_millis
111281.25
usercpu_time_millis
68718.75
usercpu_time_millis
118515.625
usercpu_time_millis
122765.625
usercpu_time_millis
118843.75
usercpu_time_millis
84781.25
usercpu_time_millis
144328.125
wall_clock_time_millis_testing
4.974365234375
wall_clock_time_millis_testing
3.998994827270508
wall_clock_time_millis_testing
4.974603652954102
wall_clock_time_millis_testing
4.996776580810547
wall_clock_time_millis_testing
4.97746467590332
wall_clock_time_millis_testing
4.997014999389648
wall_clock_time_millis_testing
5.009651184082031
wall_clock_time_millis_testing
3.998279571533203
wall_clock_time_millis_testing
4.974365234375
wall_clock_time_millis_testing
5.980491638183594
wall_clock_time_millis
80087.77379989624
wall_clock_time_millis
97425.43125152588
wall_clock_time_millis
72829.12921905518
wall_clock_time_millis
89113.73519897461
wall_clock_time_millis
57783.90049934387
wall_clock_time_millis
102143.62454414368
wall_clock_time_millis
100931.68330192566
wall_clock_time_millis
104884.9401473999
wall_clock_time_millis
74340.18182754517
wall_clock_time_millis
113568.49980354309
predictive_accuracy
0.9292389853137517
predictive_accuracy
0.8818424566088118
predictive_accuracy
0.8691588785046729
predictive_accuracy
0.8931909212283045
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.8898531375166889
predictive_accuracy
0.8885180240320427
predictive_accuracy
0.8845126835781041
predictive_accuracy
0.8724966622162884
predictive_accuracy
0.8825100133511349