3950
7096
cv
null
7096
error_score
"raise"
7096
fit_params
{}
7096
iid
true
7096
n_iter
50
7096
n_jobs
1
7096
param_distributions
{"classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], "classifier__bootstrap": [true, false], "classifier__min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]}
7096
pre_dispatch
"2*n_jobs"
7096
random_state
1
7096
refit
true
7096
return_train_score
true
7096
scoring
null
7096
verbose
0
7096
axis
0
6947
categorical_features
[0]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
bootstrap
true
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
"auto"
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
19
6902
min_samples_split
2
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
10
6902
n_jobs
1
6902
oob_score
false
6902
random_state
1
6902
verbose
0
6902
warm_start
false
6902
openml-python
Sklearn_0.18.1.
usercpu_time_millis_training
522536.80408700166
usercpu_time_millis_training
520457.2609370007
usercpu_time_millis_training
528791.2702979957
usercpu_time_millis_training
542669.0519170007
usercpu_time_millis_training
524398.822853007
usercpu_time_millis_training
516998.26425899664
usercpu_time_millis_training
514583.1884279978
usercpu_time_millis_training
532412.2804139988
usercpu_time_millis_training
518696.76838300074
usercpu_time_millis_training
535525.5191079995
predictive_accuracy
0.992424242424
predictive_accuracy
0.978787878788
predictive_accuracy
0.993939393939
predictive_accuracy
0.992424242424
predictive_accuracy
0.987878787879
predictive_accuracy
0.984848484848
predictive_accuracy
0.975757575758
predictive_accuracy
0.990909090909
predictive_accuracy
0.98937784522
predictive_accuracy
0.992412746586
usercpu_time_millis_testing
47.33309600123903
usercpu_time_millis_testing
46.06302399770357
usercpu_time_millis_testing
47.15073400438996
usercpu_time_millis_testing
45.775405000313185
usercpu_time_millis_testing
47.25459899782436
usercpu_time_millis_testing
45.462940994184464
usercpu_time_millis_testing
47.076260001631454
usercpu_time_millis_testing
45.99958300241269
usercpu_time_millis_testing
47.22678500547772
usercpu_time_millis_testing
45.6451450008899
usercpu_time_millis
522584.1371830029
usercpu_time_millis
520503.3239609984
usercpu_time_millis
528838.4210320001
usercpu_time_millis
542714.827322001
usercpu_time_millis
524446.0774520049
usercpu_time_millis
517043.7271999908
usercpu_time_millis
514630.26468799944
usercpu_time_millis
532458.2799970012
usercpu_time_millis
518743.9951680062
usercpu_time_millis
535571.1642530004