34539
19174
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19174
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"}}]
19174
verbose
false
19174
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
categorical_features
null
19175
early_stopping
"auto"
19175
l2_regularization
0.0
19175
learning_rate
0.1
19175
loss
"auto"
19175
max_bins
255
19175
max_depth
null
19175
max_iter
100
19175
max_leaf_nodes
31
19175
min_samples_leaf
20
19175
monotonic_cst
null
19175
n_iter_no_change
10
19175
random_state
28309
19175
scoring
"loss"
19175
tol
1e-07
19175
validation_fraction
0.1
19175
verbose
0
19175
warm_start
false
19175
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
5609.375
usercpu_time_millis_training
5687.5
usercpu_time_millis_training
5843.75
usercpu_time_millis_training
5343.75
usercpu_time_millis_training
5859.375
usercpu_time_millis_training
5593.75
usercpu_time_millis_training
5593.75
usercpu_time_millis_training
5031.25
usercpu_time_millis_training
4875.0
usercpu_time_millis_training
5609.375
wall_clock_time_millis_training
1864.929437637329
wall_clock_time_millis_training
1964.8725986480713
wall_clock_time_millis_training
1930.8927059173584
wall_clock_time_millis_training
1957.8783512115479
wall_clock_time_millis_training
1943.8855648040771
wall_clock_time_millis_training
1927.8945922851562
wall_clock_time_millis_training
1926.8956184387207
wall_clock_time_millis_training
1999.8533725738525
wall_clock_time_millis_training
1976.8669605255127
wall_clock_time_millis_training
1927.8953075408936
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
171.875
usercpu_time_millis_testing
250.0
usercpu_time_millis_testing
218.75
usercpu_time_millis_testing
171.875
usercpu_time_millis_testing
125.0
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
187.5
usercpu_time_millis
5796.875
usercpu_time_millis
5875.0
usercpu_time_millis
6015.625
usercpu_time_millis
5593.75
usercpu_time_millis
6078.125
usercpu_time_millis
5765.625
usercpu_time_millis
5718.75
usercpu_time_millis
5218.75
usercpu_time_millis
5062.5
usercpu_time_millis
5796.875
wall_clock_time_millis_testing
49.97062683105469
wall_clock_time_millis_testing
49.97134208679199
wall_clock_time_millis_testing
48.97189140319824
wall_clock_time_millis_testing
52.96969413757324
wall_clock_time_millis_testing
52.97064781188965
wall_clock_time_millis_testing
51.96952819824219
wall_clock_time_millis_testing
50.97031593322754
wall_clock_time_millis_testing
50.97055435180664
wall_clock_time_millis_testing
51.970481872558594
wall_clock_time_millis_testing
50.96936225891113
wall_clock_time_millis
1914.9000644683838
wall_clock_time_millis
2014.8439407348633
wall_clock_time_millis
1979.8645973205566
wall_clock_time_millis
2010.848045349121
wall_clock_time_millis
1996.8562126159668
wall_clock_time_millis
1979.8641204833984
wall_clock_time_millis
1977.8659343719482
wall_clock_time_millis
2050.823926925659
wall_clock_time_millis
2028.8374423980713
wall_clock_time_millis
1978.8646697998047
predictive_accuracy
0.9456820262435154
predictive_accuracy
0.9435459261519683
predictive_accuracy
0.9444613976197742
predictive_accuracy
0.950259383582545
predictive_accuracy
0.9484284406469332
predictive_accuracy
0.9472078120231919
predictive_accuracy
0.9481232834909978
predictive_accuracy
0.9472078120231919
predictive_accuracy
0.9475129691791272
predictive_accuracy
0.9471916971916972