3512
9666
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"median"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
criterion
"friedman_mse"
9667
init
null
9667
learning_rate
0.06435758581206617
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loss
"deviance"
9667
max_depth
19
9667
max_features
0.5530165612925368
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.29102187734173324
9667
min_impurity_split
null
9667
min_samples_leaf
10
9667
min_samples_split
2
9667
min_weight_fraction_leaf
0.09214375517730927
9667
n_estimators
180
9667
n_iter_no_change
1448
9667
presort
"auto"
9667
random_state
31139
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subsample
0.4692787674222021
9667
tol
0.0004376690671655529
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validation_fraction
0.3785395321133149
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
985.4892189978273
usercpu_time_millis_training
933.1749000011769
usercpu_time_millis_training
932.9701440001372
usercpu_time_millis_training
931.3272050021624
usercpu_time_millis_training
927.5070959993172
usercpu_time_millis_training
927.2469529969385
usercpu_time_millis_training
931.8520960005117
usercpu_time_millis_training
931.2499770021532
usercpu_time_millis_training
927.961151002819
usercpu_time_millis_training
926.404845999059
usercpu_time_millis_testing
1.526906002254691
usercpu_time_millis_testing
1.6187319997698069
usercpu_time_millis_testing
1.696053001069231
usercpu_time_millis_testing
1.4829240026301704
usercpu_time_millis_testing
1.6133740027726162
usercpu_time_millis_testing
1.5614720032317564
usercpu_time_millis_testing
1.5667749976273626
usercpu_time_millis_testing
1.6797699972812552
usercpu_time_millis_testing
1.6291179999825545
usercpu_time_millis_testing
1.4933600032236427
usercpu_time_millis
987.016125000082
usercpu_time_millis
934.7936320009467
usercpu_time_millis
934.6661970012065
usercpu_time_millis
932.8101290047925
usercpu_time_millis
929.1204700020899
usercpu_time_millis
928.8084250001702
usercpu_time_millis
933.418870998139
usercpu_time_millis
932.9297469994344
usercpu_time_millis
929.5902690028015
usercpu_time_millis
927.8982060022827
predictive_accuracy
0.9666666666666667
predictive_accuracy
0.9333333333333333
predictive_accuracy
0.9666666666666667
predictive_accuracy
0.95
predictive_accuracy
0.9333333333333333
predictive_accuracy
0.95
predictive_accuracy
0.9666666666666667
predictive_accuracy
0.9833333333333333
predictive_accuracy
0.9333333333333333
predictive_accuracy
0.9166666666666666