9200647
3886
Benjamin Strang
3778
Supervised Classification
predictive_accuracy
7756
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=mylib.preprocessing_openml14.ConditionalImputer,one-hot-encoder=sklearn.preprocessing.data.OneHotEncoder,variance-thresholding=sklearn.feature_selection.variance_threshold.VarianceThreshold,feature-scaling=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.svm.classes.SVC))(1)
7130525
axis
0
7633
categorical_features
[1, 2, 4]
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
[1, 2, 4]
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
7650
cache_size
1000
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
10000
7650
probability
true
7650
random_state
45900
7650
shrinking
true
7650
tol
0.001
7650
verbose
false
7650
cv
3
7756
error_score
"raise"
7756
fit_params
null
7756
iid
true
7756
n_iter
250
7756
n_jobs
-1
7756
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__gamma": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "mylib.distributions.loguniform_gen", "a": 3.0517578125e-05, "b": 8, "args": [], "kwds": {"base": 2, "low": 3.0517578125e-05, "high": 8}}}, "classifier__shrinking": [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"]}
7756
pre_dispatch
"2*n_jobs"
7756
random_state
1
7756
refit
true
7756
return_train_score
"warn"
7756
scoring
null
7756
verbose
0
7756
memory
null
7757
openml-python
Sklearn_0.19.1.
study_123
915
plasma_retinol
https://www.openml.org/data/download/53449/plasma_retinol.arff
-1
19327715
description
https://api.openml.org/data/download/19327715/description.xml
-1
19327716
predictions
https://api.openml.org/data/download/19327716/predictions.arff
area_under_roc_curve
0.525716764438569 [0.525717,0.525717]
average_cost
0
f_measure
0.45167252723281415 [0.713987,0.092715]
kappa
-0.008836524300441847
kb_relative_information_score
0.3210997662452722
mean_absolute_error
0.4868461016202772
mean_prior_absolute_error
0.48797756747283555
number_of_instances
315 [182,133]
precision
0.4968574635241302 [0.575758,0.388889]
predictive_accuracy
0.5650793650793651
prior_entropy
0.9826954278450184
recall
0.5650793650793651 [0.93956,0.052632]
relative_absolute_error
0.9976813158473287
root_mean_prior_squared_error
0.49391381645157195
root_mean_squared_error
0.49545027517843554
root_relative_squared_error
1.003110783046933
total_cost
0
area_under_roc_curve
0.6396761133603239 [0.639676,0.639676]
area_under_roc_curve
0.5263157894736842 [0.526316,0.526316]
area_under_roc_curve
0.5753968253968254 [0.575397,0.575397]
area_under_roc_curve
0.5178571428571429 [0.517857,0.517857]
area_under_roc_curve
0.5555555555555556 [0.555556,0.555556]
area_under_roc_curve
0.47863247863247865 [0.478632,0.478632]
area_under_roc_curve
0.5341880341880342 [0.534188,0.534188]
area_under_roc_curve
0.5897435897435898 [0.589744,0.589744]
area_under_roc_curve
0.43589743589743596 [0.435897,0.435897]
area_under_roc_curve
0.5170940170940171 [0.517094,0.517094]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.5115749525616697 [0.711111,0.235294]
f_measure
0.4563464235624123 [0.695652,0.125]
f_measure
0.4563464235624123 [0.695652,0.125]
f_measure
0.4880296729234573 [0.634146,0.285714]
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0.04728132387706861
kappa
-0.03827751196172264
kappa
-0.03827751196172264
kappa
0
kappa
-0.04966139954853274
kb_relative_information_score
0.22250577988887354
kb_relative_information_score
0.05135770641819351
kb_relative_information_score
0.35281278924184134
kb_relative_information_score
0.8084782770369793
kb_relative_information_score
0.011608816576700966
kb_relative_information_score
-0.003980652623626351
kb_relative_information_score
-0.08889271681834607
kb_relative_information_score
0.02427164267730297
kb_relative_information_score
-0.131597874018786
kb_relative_information_score
-0.9254640021338613
mean_absolute_error
0.48306137532375587
mean_absolute_error
0.4843558699641247
mean_absolute_error
0.4863703482945046
mean_absolute_error
0.47913140366973966
mean_absolute_error
0.4900591243722271
mean_absolute_error
0.4856462158397792
mean_absolute_error
0.4874385126579045
mean_absolute_error
0.48615686967011645
mean_absolute_error
0.48890660824946297
mean_absolute_error
0.4976976683700942
mean_prior_absolute_error
0.48550867507886475
mean_prior_absolute_error
0.48550867507886475
mean_prior_absolute_error
0.49033911671924324
mean_prior_absolute_error
0.49033911671924324
mean_prior_absolute_error
0.49033911671924324
mean_prior_absolute_error
0.48753434415386215
mean_prior_absolute_error
0.48753434415386215
mean_prior_absolute_error
0.48753434415386215
mean_prior_absolute_error
0.48753434415386215
mean_prior_absolute_error
0.48753434415386215
number_of_instances
32 [19,13]
number_of_instances
32 [19,13]
number_of_instances
32 [18,14]
number_of_instances
32 [18,14]
number_of_instances
32 [18,14]
number_of_instances
31 [18,13]
number_of_instances
31 [18,13]
number_of_instances
31 [18,13]
number_of_instances
31 [18,13]
number_of_instances
31 [18,13]
precision
0.553763440860215 [0.592593,0.5]
precision
0.47158218125960055 [0.571429,0.333333]
precision
0.47158218125960055 [0.571429,0.333333]
precision
0.4854488078541374 [0.565217,0.375]
predictive_accuracy
0.59375
predictive_accuracy
0.59375
predictive_accuracy
0.5625
predictive_accuracy
0.5625
predictive_accuracy
0.5625
predictive_accuracy
0.5806451612903225
predictive_accuracy
0.5483870967741935
predictive_accuracy
0.5483870967741935
predictive_accuracy
0.5806451612903225
predictive_accuracy
0.5161290322580645
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
prior_entropy
0.9826954278450184
recall
0.59375 [1,0]
recall
0.59375 [1,0]
recall
0.5625 [1,0]
recall
0.5625 [1,0]
recall
0.5625 [1,0]
recall
0.5806451612903226 [0.888889,0.153846]
recall
0.5483870967741935 [0.888889,0.076923]
recall
0.5483870967741935 [0.888889,0.076923]
recall
0.5806451612903226 [1,0]
recall
0.5161290322580645 [0.722222,0.230769]
relative_absolute_error
0.9949593078749595
relative_absolute_error
0.9976255725717924
relative_absolute_error
0.9919060742057602
relative_absolute_error
0.9771429350273092
relative_absolute_error
0.9994289822339905
relative_absolute_error
0.996127189116574
relative_absolute_error
0.9998034364202095
relative_absolute_error
0.9971746103628117
relative_absolute_error
1.0028147024144163
relative_absolute_error
1.0208463759283892
root_mean_prior_squared_error
0.4914081457279547
root_mean_prior_squared_error
0.4914081457279547
root_mean_prior_squared_error
0.4962987077639487
root_mean_prior_squared_error
0.4962987077639487
root_mean_prior_squared_error
0.4962987077639487
root_mean_prior_squared_error
0.49346492759139854
root_mean_prior_squared_error
0.49346492759139854
root_mean_prior_squared_error
0.49346492759139854
root_mean_prior_squared_error
0.49346492759139854
root_mean_prior_squared_error
0.49346492759139854
root_mean_squared_error
0.4883573080597874
root_mean_squared_error
0.4902451143718975
root_mean_squared_error
0.49426826593844436
root_mean_squared_error
0.48842390816369424
root_mean_squared_error
0.49637144292989527
root_mean_squared_error
0.49885336663709445
root_mean_squared_error
0.49882763887970216
root_mean_squared_error
0.4961218544563014
root_mean_squared_error
0.4970479335485603
root_mean_squared_error
0.5063374506303399
root_relative_squared_error
0.9937916420501172
root_relative_squared_error
0.9976332680559572
root_relative_squared_error
0.9959088311258105
root_relative_squared_error
0.9841329435739737
root_relative_squared_error
1.0001465552192839
root_relative_squared_error
1.0109195988294384
root_relative_squared_error
1.010867461877137
root_relative_squared_error
1.0053842263479014
root_relative_squared_error
1.0072609131000463
root_relative_squared_error
1.026085993794477
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0