9951
7725
cv
3
7725
error_score
"raise"
7725
fit_params
null
7725
iid
true
7725
n_iter
60
7725
n_jobs
-1
7725
param_distributions
{"classifier__criterion": ["gini", "entropy"], "classifier__max_depth": [2, 3, 5, 7, 10], "classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], "imputation__strategy": ["mean", "median", "most_frequent"]}
7725
pre_dispatch
"2*n_jobs"
7725
random_state
1
7725
refit
true
7725
return_train_score
"warn"
7725
scoring
null
7725
verbose
0
7725
memory
null
7726
axis
0
7633
categorical_features
[]
7633
copy
true
7633
fill_empty
0
7633
missing_values
"NaN"
7633
strategy
"median"
7633
strategy_nominal
"most_frequent"
7633
verbose
0
7633
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
copy
true
7646
with_mean
false
7646
with_std
true
7646
class_weight
null
7672
criterion
"gini"
7672
max_depth
null
7672
max_features
null
7672
max_leaf_nodes
null
7672
min_impurity_decrease
0.0
7672
min_impurity_split
null
7672
min_samples_leaf
1
7672
min_samples_split
2
7672
min_weight_fraction_leaf
0.0
7672
presort
false
7672
random_state
53610
7672
splitter
"best"
7672
openml-python
Sklearn_0.19.1.
predictive_accuracy
0.8
predictive_accuracy
0.95
predictive_accuracy
0.9
predictive_accuracy
0.85
predictive_accuracy
0.9
predictive_accuracy
0.8421052631578947
predictive_accuracy
0.9473684210526315
predictive_accuracy
0.6842105263157895
predictive_accuracy
0.9473684210526315
predictive_accuracy
0.7894736842105263