9200801
3886
Benjamin Strang
3974
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)
7130665
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
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
21374
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
1140
AP_Ovary_Lung
https://www.openml.org/data/download/54023/AP_Ovary_Lung.arff
-1
19328019
description
https://api.openml.org/data/download/19328019/description.xml
-1
19328020
predictions
https://api.openml.org/data/download/19328020/predictions.arff
area_under_roc_curve
0.9743065576398909 [0.974307,0.974307]
average_cost
0
f_measure
0.93775642678464 [0.950739,0.917355]
kappa
0.8682284040995607
kb_relative_information_score
253.65252277432174
mean_absolute_error
0.1134264927631047
mean_prior_absolute_error
0.47546012269938587
number_of_instances
324 [198,126]
precision
0.9391670350722074 [0.927885,0.956897]
predictive_accuracy
0.9382716049382717
prior_entropy
0.964521851445031
recall
0.9382716049382716 [0.974747,0.880952]
relative_absolute_error
0.23856152671465922
root_mean_prior_squared_error
0.48749849810276596
root_mean_squared_error
0.21911082002697466
root_relative_squared_error
0.44945947706445144
total_cost
0
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9961538461538462 [0.996154,0.996154]
area_under_roc_curve
0.9961538461538462 [0.996154,0.996154]
area_under_roc_curve
0.9615384615384616 [0.961538,0.961538]
area_under_roc_curve
0.9875 [0.9875,0.9875]
area_under_roc_curve
0.9958333333333333 [0.995833,0.995833]
area_under_roc_curve
0.9541666666666668 [0.954167,0.954167]
area_under_roc_curve
0.9125 [0.9125,0.9125]
area_under_roc_curve
0.9757085020242915 [0.975709,0.975709]
area_under_roc_curve
1 [1,1]
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
1 [1,1]
f_measure
0.9393939393939394 [0.95,0.923077]
f_measure
0.9694604582409461 [0.97561,0.96]
f_measure
0.9393939393939394 [0.95,0.923077]
f_measure
0.9053552492046659 [0.926829,0.869565]
f_measure
0.9361471861471862 [0.952381,0.909091]
f_measure
0.8722943722943723 [0.904762,0.818182]
f_measure
0.9361471861471862 [0.952381,0.909091]
f_measure
0.9055769230769231 [0.923077,0.88]
f_measure
0.968525641025641 [0.974359,0.96]
kappa
1
kappa
0.8730769230769232
kappa
0.9356725146198831
kappa
0.8730769230769232
kappa
0.7966101694915254
kappa
0.8620689655172413
kappa
0.7241379310344828
kappa
0.8620689655172413
kappa
0.8032786885245902
kappa
0.9344262295081968
kb_relative_information_score
25.936717145389224
kb_relative_information_score
27.50081907239376
kb_relative_information_score
27.866531914680753
kb_relative_information_score
27.006018683322374
kb_relative_information_score
21.75736119926414
kb_relative_information_score
26.428864480444282
kb_relative_information_score
21.567655983742664
kb_relative_information_score
24.444547503793043
kb_relative_information_score
24.322429816783163
kb_relative_information_score
26.821576974508385
mean_absolute_error
0.12484190319587783
mean_absolute_error
0.09046629105890405
mean_absolute_error
0.08805826297240184
mean_absolute_error
0.09532984683536808
mean_absolute_error
0.16287484135654076
mean_absolute_error
0.08692968139298841
mean_absolute_error
0.15518799852854387
mean_absolute_error
0.11601328261891186
mean_absolute_error
0.12216268523271885
mean_absolute_error
0.09411918653222476
mean_prior_absolute_error
0.47657557166759623
mean_prior_absolute_error
0.47657557166759623
mean_prior_absolute_error
0.47657557166759623
mean_prior_absolute_error
0.47657557166759623
mean_prior_absolute_error
0.4723926380368098
mean_prior_absolute_error
0.4723926380368098
mean_prior_absolute_error
0.4723926380368098
mean_prior_absolute_error
0.4723926380368098
mean_prior_absolute_error
0.47929447852760737
mean_prior_absolute_error
0.47929447852760737
number_of_instances
33 [20,13]
number_of_instances
33 [20,13]
number_of_instances
33 [20,13]
number_of_instances
33 [20,13]
number_of_instances
32 [20,12]
number_of_instances
32 [20,12]
number_of_instances
32 [20,12]
number_of_instances
32 [20,12]
number_of_instances
32 [19,13]
number_of_instances
32 [19,13]
precision
1 [1,1]
precision
0.9393939393939394 [0.95,0.923077]
precision
0.9711399711399712 [0.952381,1]
precision
0.9393939393939394 [0.95,0.923077]
precision
0.9063852813852813 [0.904762,0.909091]
precision
0.9431818181818181 [0.909091,1]
precision
0.8772727272727273 [0.863636,0.9]
precision
0.9431818181818181 [0.909091,1]
precision
0.9067708333333333 [0.9,0.916667]
precision
0.9703125 [0.95,1]
predictive_accuracy
1
predictive_accuracy
0.9393939393939393
predictive_accuracy
0.9696969696969697
predictive_accuracy
0.9393939393939393
predictive_accuracy
0.90625
predictive_accuracy
0.9375
predictive_accuracy
0.875
predictive_accuracy
0.9375
predictive_accuracy
0.90625
predictive_accuracy
0.96875
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
prior_entropy
0.964521851445031
recall
1 [1,1]
recall
0.9393939393939394 [0.95,0.923077]
recall
0.9696969696969697 [1,0.923077]
recall
0.9393939393939394 [0.95,0.923077]
recall
0.90625 [0.95,0.833333]
recall
0.9375 [1,0.833333]
recall
0.875 [0.95,0.75]
recall
0.9375 [1,0.833333]
recall
0.90625 [0.947368,0.846154]
recall
0.96875 [1,0.923077]
relative_absolute_error
0.2619561526392147
relative_absolute_error
0.1898256990855646
relative_absolute_error
0.184772926283811
relative_absolute_error
0.2000309132543183
relative_absolute_error
0.3447870018326772
relative_absolute_error
0.1840199748968456
relative_absolute_error
0.32851485402795655
relative_absolute_error
0.24558655931016407
relative_absolute_error
0.2548802264695446
relative_absolute_error
0.19637027078083372
root_mean_prior_squared_error
0.48864121256875365
root_mean_prior_squared_error
0.48864121256875365
root_mean_prior_squared_error
0.48864121256875365
root_mean_prior_squared_error
0.48864121256875365
root_mean_prior_squared_error
0.4843421321647287
root_mean_prior_squared_error
0.4843421321647287
root_mean_prior_squared_error
0.4843421321647287
root_mean_prior_squared_error
0.4843421321647287
root_mean_prior_squared_error
0.49141544692924854
root_mean_prior_squared_error
0.49141544692924854
root_mean_squared_error
0.17053842753837944
root_mean_squared_error
0.17179850331401217
root_mean_squared_error
0.16679521536754904
root_mean_squared_error
0.2411804850686248
root_mean_squared_error
0.24055959678881908
root_mean_squared_error
0.18842675310272455
root_mean_squared_error
0.28791505392650346
root_mean_squared_error
0.2569552371145665
root_mean_squared_error
0.255800248627516
root_mean_squared_error
0.171064961287009
root_relative_squared_error
0.3490054116431779
root_relative_squared_error
0.3515841457802527
root_relative_squared_error
0.3413449604275455
root_relative_squared_error
0.4935737691889625
root_relative_squared_error
0.4966728698857088
root_relative_squared_error
0.38903646944891235
root_relative_squared_error
0.5944456094283807
root_relative_squared_error
0.5305242308079322
root_relative_squared_error
0.5205376636529393
root_relative_squared_error
0.34810660176833635
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