10101
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
42062
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
937.5
usercpu_time_millis_training
781.25
usercpu_time_millis_training
1046.875
usercpu_time_millis_training
859.375
usercpu_time_millis_training
718.75
usercpu_time_millis_training
1015.625
usercpu_time_millis_training
1000.0
usercpu_time_millis_training
703.125
usercpu_time_millis_training
718.75
usercpu_time_millis_training
1125.0
wall_clock_time_millis_training
954.2062282562256
wall_clock_time_millis_training
788.6719703674316
wall_clock_time_millis_training
996.8852996826172
wall_clock_time_millis_training
836.1103534698486
wall_clock_time_millis_training
684.6070289611816
wall_clock_time_millis_training
1028.3901691436768
wall_clock_time_millis_training
1038.8977527618408
wall_clock_time_millis_training
704.6513557434082
wall_clock_time_millis_training
717.6964282989502
wall_clock_time_millis_training
1150.0651836395264
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_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis
937.5
usercpu_time_millis
781.25
usercpu_time_millis
1046.875
usercpu_time_millis
859.375
usercpu_time_millis
734.375
usercpu_time_millis
1031.25
usercpu_time_millis
1000.0
usercpu_time_millis
703.125
usercpu_time_millis
718.75
usercpu_time_millis
1125.0
wall_clock_time_millis_testing
1.9977092742919922
wall_clock_time_millis_testing
2.9816627502441406
wall_clock_time_millis_testing
2.9993057250976562
wall_clock_time_millis_testing
2.9997825622558594
wall_clock_time_millis_testing
3.0012130737304688
wall_clock_time_millis_testing
3.9963722229003906
wall_clock_time_millis_testing
2.9981136322021484
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
2.997875213623047
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis
956.2039375305176
wall_clock_time_millis
791.6536331176758
wall_clock_time_millis
999.8846054077148
wall_clock_time_millis
839.1101360321045
wall_clock_time_millis
687.6082420349121
wall_clock_time_millis
1032.3865413665771
wall_clock_time_millis
1041.895866394043
wall_clock_time_millis
706.6507339477539
wall_clock_time_millis
720.6943035125732
wall_clock_time_millis
1152.0636081695557
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.8266666666666667
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.8133333333333334
predictive_accuracy
0.8
predictive_accuracy
0.7866666666666666
predictive_accuracy
0.84
predictive_accuracy
0.8266666666666667
predictive_accuracy
0.7972972972972973
predictive_accuracy
0.8243243243243243