59
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
531.25
usercpu_time_millis_training
453.125
usercpu_time_millis_training
453.125
usercpu_time_millis_training
421.875
usercpu_time_millis_training
468.75
usercpu_time_millis_training
468.75
usercpu_time_millis_training
468.75
usercpu_time_millis_training
546.875
usercpu_time_millis_training
609.375
usercpu_time_millis_training
609.375
wall_clock_time_millis_training
521.7010974884033
wall_clock_time_millis_training
463.7875556945801
wall_clock_time_millis_training
447.74651527404785
wall_clock_time_millis_training
433.734655380249
wall_clock_time_millis_training
475.72875022888184
wall_clock_time_millis_training
473.7062454223633
wall_clock_time_millis_training
469.7306156158447
wall_clock_time_millis_training
542.6895618438721
wall_clock_time_millis_training
601.6557216644287
wall_clock_time_millis_training
597.6545810699463
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_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis
531.25
usercpu_time_millis
453.125
usercpu_time_millis
453.125
usercpu_time_millis
421.875
usercpu_time_millis
468.75
usercpu_time_millis
468.75
usercpu_time_millis
468.75
usercpu_time_millis
546.875
usercpu_time_millis
609.375
usercpu_time_millis
609.375
wall_clock_time_millis_testing
1.9762516021728516
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
1.9977092742919922
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
3.9970874786376953
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis
523.6773490905762
wall_clock_time_millis
465.787410736084
wall_clock_time_millis
449.74517822265625
wall_clock_time_millis
435.732364654541
wall_clock_time_millis
477.72693634033203
wall_clock_time_millis
475.7044315338135
wall_clock_time_millis
471.729040145874
wall_clock_time_millis
545.6891059875488
wall_clock_time_millis
605.6528091430664
wall_clock_time_millis
599.6532440185547
predictive_accuracy
1.0
predictive_accuracy
1.0
predictive_accuracy
0.9333333333333333
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0
predictive_accuracy
0.9333333333333333
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0