3974
7754
cv
3
7754
error_score
"raise"
7754
fit_params
null
7754
iid
true
7754
n_iter
250
7754
n_jobs
-1
7754
param_distributions
{"classifier__C": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "mylib.distributions.loguniform_gen", "a": 0.03125, "b": 32768, "args": [], "kwds": {"base": 2, "low": 0.03125, "high": 32768}}}, "classifier__dual": [true, false], "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"]}
7754
pre_dispatch
"2*n_jobs"
7754
random_state
1
7754
refit
true
7754
return_train_score
"warn"
7754
scoring
null
7754
verbose
0
7754
memory
null
7755
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
C
1.0
7647
class_weight
null
7647
dual
true
7647
fit_intercept
true
7647
intercept_scaling
1
7647
loss
"squared_hinge"
7647
max_iter
10000
7647
multi_class
"ovr"
7647
penalty
"l2"
7647
random_state
23653
7647
tol
0.0001
7647
verbose
0
7647
openml-python
Sklearn_0.19.1.
predictive_accuracy
0.9393939393939394
predictive_accuracy
0.9393939393939394
predictive_accuracy
1.0
predictive_accuracy
0.9393939393939394
predictive_accuracy
0.9375
predictive_accuracy
0.96875
predictive_accuracy
0.84375
predictive_accuracy
0.9375
predictive_accuracy
0.875
predictive_accuracy
1.0