37
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
51066
19169
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
wall_clock_time_millis_training
147.9182243347168
wall_clock_time_millis_training
151.89242362976074
wall_clock_time_millis_training
156.92949295043945
wall_clock_time_millis_training
157.90796279907227
wall_clock_time_millis_training
147.9341983795166
wall_clock_time_millis_training
148.91433715820312
wall_clock_time_millis_training
144.89436149597168
wall_clock_time_millis_training
144.89412307739258
wall_clock_time_millis_training
145.9355354309082
wall_clock_time_millis_training
147.93682098388672
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_testing
0.0
usercpu_time_millis
171.875
usercpu_time_millis
156.25
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
156.25
wall_clock_time_millis_testing
11.993646621704102
wall_clock_time_millis_testing
11.991500854492188
wall_clock_time_millis_testing
12.972593307495117
wall_clock_time_millis_testing
14.991521835327148
wall_clock_time_millis_testing
13.97562026977539
wall_clock_time_millis_testing
13.991355895996094
wall_clock_time_millis_testing
11.99483871459961
wall_clock_time_millis_testing
11.992454528808594
wall_clock_time_millis_testing
10.974884033203125
wall_clock_time_millis_testing
12.992382049560547
wall_clock_time_millis
159.9118709564209
wall_clock_time_millis
163.88392448425293
wall_clock_time_millis
169.90208625793457
wall_clock_time_millis
172.8994846343994
wall_clock_time_millis
161.909818649292
wall_clock_time_millis
162.90569305419922
wall_clock_time_millis
156.8892002105713
wall_clock_time_millis
156.88657760620117
wall_clock_time_millis
156.91041946411133
wall_clock_time_millis
160.92920303344727
predictive_accuracy
0.7792207792207793
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.6883116883116883
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7792207792207793
predictive_accuracy
0.8181818181818182
predictive_accuracy
0.7763157894736842
predictive_accuracy
0.7105263157894737