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
0
19169
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
140.625
usercpu_time_millis_training
203.125
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
wall_clock_time_millis_training
143.9356803894043
wall_clock_time_millis_training
203.88245582580566
wall_clock_time_millis_training
146.91567420959473
wall_clock_time_millis_training
141.91770553588867
wall_clock_time_millis_training
141.91484451293945
wall_clock_time_millis_training
142.91739463806152
wall_clock_time_millis_training
144.9143886566162
wall_clock_time_millis_training
137.94565200805664
wall_clock_time_millis_training
146.91996574401855
wall_clock_time_millis_training
137.92133331298828
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
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis
140.625
usercpu_time_millis
218.75
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
156.25
wall_clock_time_millis_testing
12.970924377441406
wall_clock_time_millis_testing
12.994527816772461
wall_clock_time_millis_testing
11.01541519165039
wall_clock_time_millis_testing
15.971183776855469
wall_clock_time_millis_testing
12.014627456665039
wall_clock_time_millis_testing
11.996269226074219
wall_clock_time_millis_testing
10.994911193847656
wall_clock_time_millis_testing
11.970758438110352
wall_clock_time_millis_testing
10.991334915161133
wall_clock_time_millis_testing
11.990547180175781
wall_clock_time_millis
156.9066047668457
wall_clock_time_millis
216.87698364257812
wall_clock_time_millis
157.93108940124512
wall_clock_time_millis
157.88888931274414
wall_clock_time_millis
153.9294719696045
wall_clock_time_millis
154.91366386413574
wall_clock_time_millis
155.90929985046387
wall_clock_time_millis
149.916410446167
wall_clock_time_millis
157.9113006591797
wall_clock_time_millis
149.91188049316406
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