10101
19170
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19170
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"}}]
19170
verbose
false
19170
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
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
38650
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125.0
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
109.375
wall_clock_time_millis_training
115.95559120178223
wall_clock_time_millis_training
125.9310245513916
wall_clock_time_millis_training
117.95425415039062
wall_clock_time_millis_training
117.95186996459961
wall_clock_time_millis_training
116.93263053894043
wall_clock_time_millis_training
124.92609024047852
wall_clock_time_millis_training
125.9307861328125
wall_clock_time_millis_training
120.90945243835449
wall_clock_time_millis_training
121.91128730773926
wall_clock_time_millis_training
121.92964553833008
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis
125.0
usercpu_time_millis
125.0
usercpu_time_millis
109.375
usercpu_time_millis
125.0
usercpu_time_millis
125.0
usercpu_time_millis
140.625
usercpu_time_millis
125.0
usercpu_time_millis
125.0
usercpu_time_millis
125.0
usercpu_time_millis
125.0
wall_clock_time_millis_testing
3.9975643157958984
wall_clock_time_millis_testing
2.9981136322021484
wall_clock_time_millis_testing
3.9796829223632812
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.997875213623047
wall_clock_time_millis_testing
2.9990673065185547
wall_clock_time_millis_testing
2.0194053649902344
wall_clock_time_millis_testing
2.9976367950439453
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.997875213623047
wall_clock_time_millis
119.95315551757812
wall_clock_time_millis
128.92913818359375
wall_clock_time_millis
121.9339370727539
wall_clock_time_millis
119.95077133178711
wall_clock_time_millis
119.93050575256348
wall_clock_time_millis
127.92515754699707
wall_clock_time_millis
127.95019149780273
wall_clock_time_millis
123.90708923339844
wall_clock_time_millis
124.90987777709961
wall_clock_time_millis
124.92752075195312
predictive_accuracy
0.7866666666666666
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.76
predictive_accuracy
0.7866666666666666
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.76
predictive_accuracy
0.7866666666666666
predictive_accuracy
0.7837837837837838
predictive_accuracy
0.7702702702702703