37
19167
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19167
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"}}]
19167
verbose
false
19167
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
bootstrap
true
19095
ccp_alpha
0.0
19095
class_weight
null
19095
criterion
"gini"
19095
max_depth
null
19095
max_features
"auto"
19095
max_leaf_nodes
null
19095
max_samples
null
19095
min_impurity_decrease
0.0
19095
min_samples_leaf
1
19095
min_samples_split
2
19095
min_weight_fraction_leaf
0.0
19095
n_estimators
100
19095
n_jobs
null
19095
oob_score
false
19095
random_state
29824
19095
verbose
0
19095
warm_start
false
19095
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
265.625
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
250.0
usercpu_time_millis_training
296.875
usercpu_time_millis_training
250.0
usercpu_time_millis_training
234.375
usercpu_time_millis_training
234.375
usercpu_time_millis_training
250.0
wall_clock_time_millis_training
271.848201751709
wall_clock_time_millis_training
242.8600788116455
wall_clock_time_millis_training
238.88206481933594
wall_clock_time_millis_training
236.84334754943848
wall_clock_time_millis_training
240.8597469329834
wall_clock_time_millis_training
293.83182525634766
wall_clock_time_millis_training
247.85923957824707
wall_clock_time_millis_training
237.86330223083496
wall_clock_time_millis_training
241.8832778930664
wall_clock_time_millis_training
245.8815574645996
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis
296.875
usercpu_time_millis
250.0
usercpu_time_millis
234.375
usercpu_time_millis
250.0
usercpu_time_millis
265.625
usercpu_time_millis
312.5
usercpu_time_millis
265.625
usercpu_time_millis
265.625
usercpu_time_millis
250.0
usercpu_time_millis
265.625
wall_clock_time_millis_testing
20.984172821044922
wall_clock_time_millis_testing
15.990495681762695
wall_clock_time_millis_testing
15.98978042602539
wall_clock_time_millis_testing
15.988826751708984
wall_clock_time_millis_testing
16.989707946777344
wall_clock_time_millis_testing
16.010761260986328
wall_clock_time_millis_testing
22.007226943969727
wall_clock_time_millis_testing
18.00847053527832
wall_clock_time_millis_testing
19.96612548828125
wall_clock_time_millis_testing
14.968633651733398
wall_clock_time_millis
292.8323745727539
wall_clock_time_millis
258.8505744934082
wall_clock_time_millis
254.87184524536133
wall_clock_time_millis
252.83217430114746
wall_clock_time_millis
257.84945487976074
wall_clock_time_millis
309.842586517334
wall_clock_time_millis
269.8664665222168
wall_clock_time_millis
255.87177276611328
wall_clock_time_millis
261.84940338134766
wall_clock_time_millis
260.850191116333
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.6883116883116883
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7792207792207793
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7792207792207793
predictive_accuracy
0.8441558441558441
predictive_accuracy
0.7236842105263158
predictive_accuracy
0.7236842105263158