3974
7722
cv
3
7722
error_score
"raise"
7722
fit_params
null
7722
iid
true
7722
n_iter
250
7722
n_jobs
-1
7722
param_distributions
{"classifier__alpha": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "mylib.distributions.loguniform_gen", "a": 1e-07, "b": 0.1, "args": [], "kwds": {"base": 10, "low": 1e-07, "high": 0.1}}}, "classifier__penalty": ["l2", "l1", "elasticnet"], "classifier__tol": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "mylib.distributions.loguniform_gen", "a": 1e-05, "b": 0.1, "args": [], "kwds": {"base": 10, "low": 1e-05, "high": 0.1}}}, "imputation__strategy": ["mean", "median", "most_frequent"]}
7722
pre_dispatch
"2*n_jobs"
7722
random_state
3
7722
refit
true
7722
return_train_score
"warn"
7722
scoring
null
7722
verbose
0
7722
memory
null
7723
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
false
7644
threshold
0.0
7645
copy
true
7646
with_mean
true
7646
with_std
true
7646
alpha
0.0001
7724
average
false
7724
class_weight
null
7724
epsilon
0.1
7724
eta0
0.0
7724
fit_intercept
true
7724
l1_ratio
0.15
7724
learning_rate
"optimal"
7724
loss
"log"
7724
max_iter
2000
7724
n_iter
null
7724
n_jobs
1
7724
penalty
"l2"
7724
power_t
0.5
7724
random_state
3
7724
shuffle
true
7724
tol
null
7724
verbose
0
7724
warm_start
false
7724
openml-python
Sklearn_0.19.1.
predictive_accuracy
0.9393939393939394
predictive_accuracy
0.8787878787878788
predictive_accuracy
0.9696969696969697
predictive_accuracy
0.9393939393939394
predictive_accuracy
0.875
predictive_accuracy
0.96875
predictive_accuracy
0.8125
predictive_accuracy
0.9375
predictive_accuracy
0.9375
predictive_accuracy
0.96875