9201486
3886
Benjamin Strang
9951
Supervised Classification
predictive_accuracy
7725
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.tree.tree.DecisionTreeClassifier))(1)
7131313
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
class_weight
null
7672
criterion
"gini"
7672
max_depth
null
7672
max_features
null
7672
max_leaf_nodes
null
7672
min_impurity_decrease
0.0
7672
min_impurity_split
null
7672
min_samples_leaf
1
7672
min_samples_split
2
7672
min_weight_fraction_leaf
0.0
7672
presort
false
7672
random_state
53610
7672
splitter
"best"
7672
cv
3
7725
error_score
"raise"
7725
fit_params
null
7725
iid
true
7725
n_iter
60
7725
n_jobs
-1
7725
param_distributions
{"classifier__criterion": ["gini", "entropy"], "classifier__max_depth": [2, 3, 5, 7, 10], "classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], "imputation__strategy": ["mean", "median", "most_frequent"]}
7725
pre_dispatch
"2*n_jobs"
7725
random_state
1
7725
refit
true
7725
return_train_score
"warn"
7725
scoring
null
7725
verbose
0
7725
memory
null
7726
openml-python
Sklearn_0.19.1.
study_123
1488
parkinsons
https://www.openml.org/data/download/1592280/php4ylQmK
-1
19329381
description
https://api.openml.org/data/download/19329381/description.xml
-1
19329382
predictions
https://api.openml.org/data/download/19329382/predictions.arff
area_under_roc_curve
0.8321995464852607 [0.8322,0.8322]
average_cost
0
f_measure
0.8620158983200397 [0.721649,0.90785]
kappa
0.6295123495883471
kb_relative_information_score
110.84958323927326
mean_absolute_error
0.14520441396124031
mean_prior_absolute_error
0.3724326434986333
number_of_instances
195 [48,147]
precision
0.8625470419990967 [0.714286,0.910959]
predictive_accuracy
0.8615384615384616
prior_entropy
0.8092605480110475
recall
0.8615384615384616 [0.729167,0.904762]
relative_absolute_error
0.3898810066625461
root_mean_prior_squared_error
0.4307769396292177
root_mean_squared_error
0.3563602398395981
root_relative_squared_error
0.8272500383756097
total_cost
0
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.9666666666666666 [0.966667,0.966667]
area_under_roc_curve
0.9733333333333334 [0.973333,0.973333]
area_under_roc_curve
0.7666666666666667 [0.766667,0.766667]
area_under_roc_curve
0.8466666666666667 [0.846667,0.846667]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.9571428571428572 [0.957143,0.957143]
area_under_roc_curve
0.6214285714285714 [0.621429,0.621429]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.9 [0.9,0.9]
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
0.8 [0.6,0.866667]
f_measure
0.95141065830721 [0.909091,0.965517]
f_measure
0.9047619047619048 [0.833333,0.928571]
f_measure
0.8440860215053764 [0.666667,0.903226]
f_measure
0.9 [0.8,0.933333]
f_measure
0.815910744603444 [0.571429,0.903226]
f_measure
0.9487861066808435 [0.909091,0.962963]
f_measure
0.6552631578947368 [0.25,0.8]
f_measure
0.9444579189910258 [0.857143,0.967742]
f_measure
0.8083670715249661 [0.666667,0.846154]
kappa
0.4666666666666668
kappa
0.8749999999999999
kappa
0.7647058823529412
kappa
0.5714285714285713
kappa
0.7333333333333334
kappa
0.49557522123893794
kappa
0.8724832214765099
kappa
0.06557377049180331
kappa
0.8256880733944952
kappa
0.5365853658536586
kb_relative_information_score
8.326823866487636
kb_relative_information_score
17.05970504663743
kb_relative_information_score
12.92048623790438
kb_relative_information_score
11.079083761895008
kb_relative_information_score
13.45686781521962
kb_relative_information_score
10.569237514179749
kb_relative_information_score
15.607071207738702
kb_relative_information_score
2.1250392277331978
kb_relative_information_score
13.374124030318365
kb_relative_information_score
6.331144531158959
mean_absolute_error
0.19375
mean_absolute_error
0.05
mean_absolute_error
0.1307692307692308
mean_absolute_error
0.15
mean_absolute_error
0.11598746081504703
mean_absolute_error
0.15789473684210525
mean_absolute_error
0.07706766917293234
mean_absolute_error
0.3037280701754387
mean_absolute_error
0.08436532507739938
mean_absolute_error
0.1929824561403509
mean_prior_absolute_error
0.3743654822335025
mean_prior_absolute_error
0.3743654822335025
mean_prior_absolute_error
0.3743654822335025
mean_prior_absolute_error
0.3743654822335025
mean_prior_absolute_error
0.3743654822335025
mean_prior_absolute_error
0.3809778252738445
mean_prior_absolute_error
0.3809778252738445
mean_prior_absolute_error
0.3809778252738445
mean_prior_absolute_error
0.3545284531124766
mean_prior_absolute_error
0.3545284531124766
number_of_instances
20 [5,15]
number_of_instances
20 [5,15]
number_of_instances
20 [5,15]
number_of_instances
20 [5,15]
number_of_instances
20 [5,15]
number_of_instances
19 [5,14]
number_of_instances
19 [5,14]
number_of_instances
19 [5,14]
number_of_instances
19 [4,15]
number_of_instances
19 [4,15]
precision
0.8 [0.6,0.866667]
precision
0.9583333333333334 [0.833333,1]
precision
0.9285714285714286 [0.714286,1]
precision
0.84375 [0.75,0.875]
precision
0.9 [0.8,0.933333]
precision
0.8699690402476781 [1,0.823529]
precision
0.9561403508771931 [0.833333,1]
precision
0.6403508771929824 [0.333333,0.75]
precision
0.9506578947368421 [1,0.9375]
precision
0.8947368421052632 [0.5,1]
predictive_accuracy
0.8
predictive_accuracy
0.95
predictive_accuracy
0.9
predictive_accuracy
0.85
predictive_accuracy
0.9
predictive_accuracy
0.8421052631578948
predictive_accuracy
0.9473684210526316
predictive_accuracy
0.6842105263157895
predictive_accuracy
0.9473684210526316
predictive_accuracy
0.7894736842105263
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
prior_entropy
0.8092605480110475
recall
0.8 [0.6,0.866667]
recall
0.95 [1,0.933333]
recall
0.9 [1,0.866667]
recall
0.85 [0.6,0.933333]
recall
0.9 [0.8,0.933333]
recall
0.8421052631578947 [0.4,1]
recall
0.9473684210526315 [1,0.928571]
recall
0.6842105263157895 [0.2,0.857143]
recall
0.9473684210526315 [0.75,1]
recall
0.7894736842105263 [1,0.733333]
relative_absolute_error
0.517542372881356
relative_absolute_error
0.1335593220338983
relative_absolute_error
0.34930899608865723
relative_absolute_error
0.4006779661016949
relative_absolute_error
0.30982413261782055
relative_absolute_error
0.41444600280504906
relative_absolute_error
0.2022891204167502
relative_absolute_error
0.7972329359513793
relative_absolute_error
0.23796489206081833
relative_absolute_error
0.5443355940718413
root_mean_prior_squared_error
0.43301456147707545
root_mean_prior_squared_error
0.43301456147707545
root_mean_prior_squared_error
0.43301456147707545
root_mean_prior_squared_error
0.43301456147707545
root_mean_prior_squared_error
0.43301456147707545
root_mean_prior_squared_error
0.44058365095805124
root_mean_prior_squared_error
0.44058365095805124
root_mean_prior_squared_error
0.44058365095805124
root_mean_prior_squared_error
0.4094686573233146
root_mean_prior_squared_error
0.4094686573233146
root_mean_squared_error
0.4211220131980754
root_mean_squared_error
0.22360679774997896
root_mean_squared_error
0.2659358822933157
root_mean_squared_error
0.3872983346207417
root_mean_squared_error
0.3195755260010074
root_mean_squared_error
0.39735970711951313
root_mean_squared_error
0.2415322107043564
root_mean_squared_error
0.5171801706826824
root_mean_squared_error
0.24330874224718355
root_mean_squared_error
0.42577758243900343
root_relative_squared_error
0.9725354541463159
root_relative_squared_error
0.5163955618195004
root_relative_squared_error
0.614149975433089
root_relative_squared_error
0.8944233498744498
root_relative_squared_error
0.7380248943843573
root_relative_squared_error
0.9018938997292626
root_relative_squared_error
0.5482096536699523
root_relative_squared_error
1.1738523877544518
root_relative_squared_error
0.5942060225993514
root_relative_squared_error
1.0398294834635202
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