10101
19168
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19168
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"}}]
19168
verbose
false
19168
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
algorithm
"SAMME.R"
19169
base_estimator
null
19169
learning_rate
1.0
19169
n_estimators
50
19169
random_state
19492
19169
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
187.5
usercpu_time_millis_training
156.25
usercpu_time_millis_training
171.875
usercpu_time_millis_training
218.75
usercpu_time_millis_training
156.25
usercpu_time_millis_training
187.5
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
187.5
wall_clock_time_millis_training
182.89470672607422
wall_clock_time_millis_training
166.90325736999512
wall_clock_time_millis_training
173.90084266662598
wall_clock_time_millis_training
210.8767032623291
wall_clock_time_millis_training
176.89752578735352
wall_clock_time_millis_training
182.89709091186523
wall_clock_time_millis_training
178.8957118988037
wall_clock_time_millis_training
176.89824104309082
wall_clock_time_millis_training
172.89996147155762
wall_clock_time_millis_training
181.89239501953125
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_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_testing
15.625
usercpu_time_millis
203.125
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
234.375
usercpu_time_millis
171.875
usercpu_time_millis
203.125
usercpu_time_millis
203.125
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
203.125
wall_clock_time_millis_testing
20.989179611206055
wall_clock_time_millis_testing
18.98956298828125
wall_clock_time_millis_testing
15.989542007446289
wall_clock_time_millis_testing
23.9865779876709
wall_clock_time_millis_testing
11.994600296020508
wall_clock_time_millis_testing
18.987178802490234
wall_clock_time_millis_testing
20.98870277404785
wall_clock_time_millis_testing
17.989635467529297
wall_clock_time_millis_testing
14.994621276855469
wall_clock_time_millis_testing
20.988941192626953
wall_clock_time_millis
203.88388633728027
wall_clock_time_millis
185.89282035827637
wall_clock_time_millis
189.89038467407227
wall_clock_time_millis
234.86328125
wall_clock_time_millis
188.89212608337402
wall_clock_time_millis
201.88426971435547
wall_clock_time_millis
199.88441467285156
wall_clock_time_millis
194.88787651062012
wall_clock_time_millis
187.8945827484131
wall_clock_time_millis
202.8813362121582
predictive_accuracy
0.8
predictive_accuracy
0.8266666666666667
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.8266666666666667
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.8243243243243243
predictive_accuracy
0.7702702702702703