146065
19170
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19170
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"}}]
19170
verbose
false
19170
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
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
0
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125.0
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125.0
wall_clock_time_millis_training
104.96091842651367
wall_clock_time_millis_training
154.8912525177002
wall_clock_time_millis_training
101.9446849822998
wall_clock_time_millis_training
108.93607139587402
wall_clock_time_millis_training
102.95820236206055
wall_clock_time_millis_training
109.95888710021973
wall_clock_time_millis_training
102.91814804077148
wall_clock_time_millis_training
104.94232177734375
wall_clock_time_millis_training
108.91485214233398
wall_clock_time_millis_training
119.91047859191895
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_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis
109.375
usercpu_time_millis
140.625
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
125.0
usercpu_time_millis
125.0
wall_clock_time_millis_testing
5.974531173706055
wall_clock_time_millis_testing
2.9969215393066406
wall_clock_time_millis_testing
3.9980411529541016
wall_clock_time_millis_testing
3.976583480834961
wall_clock_time_millis_testing
3.9801597595214844
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
5.000829696655273
wall_clock_time_millis_testing
2.9964447021484375
wall_clock_time_millis_testing
3.997325897216797
wall_clock_time_millis_testing
3.9970874786376953
wall_clock_time_millis
110.93544960021973
wall_clock_time_millis
157.88817405700684
wall_clock_time_millis
105.9427261352539
wall_clock_time_millis
112.91265487670898
wall_clock_time_millis
106.93836212158203
wall_clock_time_millis
112.95723915100098
wall_clock_time_millis
107.91897773742676
wall_clock_time_millis
107.93876647949219
wall_clock_time_millis
112.91217803955078
wall_clock_time_millis
123.90756607055664
predictive_accuracy
0.9180327868852459
predictive_accuracy
0.7833333333333333
predictive_accuracy
0.8
predictive_accuracy
0.8333333333333334
predictive_accuracy
0.9166666666666666
predictive_accuracy
0.8
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.9166666666666666
predictive_accuracy
0.8