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
156.25
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
wall_clock_time_millis_training
148.895263671875
wall_clock_time_millis_training
153.91063690185547
wall_clock_time_millis_training
143.89538764953613
wall_clock_time_millis_training
143.89705657958984
wall_clock_time_millis_training
146.91877365112305
wall_clock_time_millis_training
152.8909206390381
wall_clock_time_millis_training
142.89498329162598
wall_clock_time_millis_training
141.9377326965332
wall_clock_time_millis_training
145.89333534240723
wall_clock_time_millis_training
150.9099006652832
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
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
171.875
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
171.875
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
11.993885040283203
wall_clock_time_millis_testing
11.970043182373047
wall_clock_time_millis_testing
12.014389038085938
wall_clock_time_millis_testing
12.992620468139648
wall_clock_time_millis_testing
11.012077331542969
wall_clock_time_millis_testing
12.012720108032227
wall_clock_time_millis_testing
11.992931365966797
wall_clock_time_millis_testing
11.970758438110352
wall_clock_time_millis_testing
12.015342712402344
wall_clock_time_millis_testing
10.992765426635742
wall_clock_time_millis
160.8891487121582
wall_clock_time_millis
165.88068008422852
wall_clock_time_millis
155.90977668762207
wall_clock_time_millis
156.8896770477295
wall_clock_time_millis
157.93085098266602
wall_clock_time_millis
164.9036407470703
wall_clock_time_millis
154.88791465759277
wall_clock_time_millis
153.90849113464355
wall_clock_time_millis
157.90867805480957
wall_clock_time_millis
161.90266609191895
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