146818
8399
cv
5
8399
error_score
"raise"
8399
fit_params
null
8399
iid
true
8399
n_iter
100
8399
n_jobs
-1
8399
param_distributions
{"clf__C": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "hyperimp.utils.distributions.loguniform_gen", "a": 0.03125, "b": 32768, "args": [], "kwds": {"base": 2, "low": 0.03125, "high": 32768}}}, "clf__coef0": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.uniform_gen", "a": 0.0, "b": 1.0, "args": [], "kwds": {"loc": 0, "scale": 1}}}, "clf__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "hyperimp.utils.distributions.loguniform_gen", "a": 3.0517578125e-05, "b": 8, "args": [], "kwds": {"base": 2, "low": 3.0517578125e-05, "high": 8}}}, "clf__kernel": ["rbf"], "clf__random_state": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._discrete_distns.randint_gen", "a": 1, "b": 100000, "args": [], "kwds": {"low": 1, "high": 100001}}}, "clf__shrinking": [true, false], "clf__tol": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "hyperimp.utils.distributions.loguniform_gen", "a": 1e-05, "b": 0.1, "args": [], "kwds": {"base": 10, "low": 1e-05, "high": 0.1}}}}
8399
pre_dispatch
"2*n_jobs"
8399
random_state
996803
8399
refit
true
8399
return_train_score
"warn"
8399
scoring
null
8399
verbose
1
8399
memory
null
8317
axis
0
8316
categorical_features
[0, 3, 4, 5, 7, 8, 10, 11]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
categorical_features
[0, 3, 4, 5, 7, 8, 10, 11]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
copy
true
7646
with_mean
false
7646
with_std
true
7646
threshold
0.0
7645
C
1.0
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.0
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
"auto"
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
51692
7650
shrinking
true
7650
tol
0.001
7650
verbose
false
7650
openml-python
Sklearn_0.19.1.
study_98
predictive_accuracy
0.8405797101449275
predictive_accuracy
0.8840579710144928
predictive_accuracy
0.8260869565217391
predictive_accuracy
0.8405797101449275
predictive_accuracy
0.8985507246376812
predictive_accuracy
0.8840579710144928
predictive_accuracy
0.855072463768116
predictive_accuracy
0.8985507246376812
predictive_accuracy
0.8695652173913043
predictive_accuracy
0.8260869565217391