6002826
1
Jan van Rijn
14967
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4037558
bootstrap
false
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.7976350245147128
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
20
6902
min_samples_split
10
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
27439
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
12928757
description
https://api.openml.org/data/download/12928757/description.xml
-1
12928758
predictions
https://api.openml.org/data/download/12928758/predictions.arff
area_under_roc_curve
0.9833981836414117 [0.994058,0.979433,0.996051,0.972419,0.978002,0.963151]
average_cost
0
f_measure
0.8566580902993529 [0.92,0.861538,0.958824,0.801961,0.801944,0.648557]
kappa
0.8231620017090686
kb_relative_information_score
2203.8144071980305
mean_absolute_error
0.07325532170131162
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.8593064929860671 [0.921603,0.906149,0.958824,0.803536,0.806846,0.606349]
predictive_accuracy
0.8551502145922747
prior_entropy
2.5206634795042744
recall
0.8551502145922747 [0.918403,0.821114,0.958824,0.800391,0.797101,0.69708]
relative_absolute_error
0.2684525407446305
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.1774421142092712
root_relative_squared_error
0.4803902856194543
total_cost
0
area_under_roc_curve
0.9863204133202464 [0.995728,0.966045,0.997711,0.972857,0.992856,0.978741]
area_under_roc_curve
0.9935632362210551 [0.994408,0.996772,0.993133,0.99178,0.997245,0.98682]
area_under_roc_curve
0.9822544690491114 [0.995806,0.991153,0.994104,0.973414,0.962853,0.959113]
area_under_roc_curve
0.9795437541265143 [0.99534,0.952774,0.999653,0.980649,0.956832,0.961735]
area_under_roc_curve
0.9879264243236721 [0.997282,0.990615,0.997503,0.971407,0.991224,0.967135]
area_under_roc_curve
0.9735033459529936 [0.99002,0.978892,0.989838,0.955561,0.964384,0.937637]
area_under_roc_curve
0.9848097869227073 [0.993283,0.990636,0.998745,0.975576,0.974784,0.957525]
area_under_roc_curve
0.9801305981405984 [0.997116,0.964766,0.999233,0.958806,0.971268,0.969577]
area_under_roc_curve
0.9789901677697743 [0.993836,0.987395,0.994146,0.962848,0.974884,0.935773]
area_under_roc_curve
0.9868667066043106 [0.988699,0.985354,0.9977,0.980091,0.987643,0.969209]
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
0.8817138228215934 [0.946429,0.793103,0.985294,0.8,0.91358,0.705882]
f_measure
0.9150739097887313 [0.884956,0.969697,0.955224,0.90566,0.926829,0.813559]
f_measure
0.8498181401931402 [0.931034,0.9375,0.926471,0.82,0.717949,0.636364]
f_measure
0.8403393663497897 [0.923077,0.75,0.992593,0.8125,0.722892,0.631579]
f_measure
0.8724997720533434 [0.940171,0.833333,0.941176,0.785714,0.925,0.690909]
f_measure
0.8152608405695545 [0.894737,0.895522,0.961832,0.72549,0.673913,0.555556]
f_measure
0.8412241252624671 [0.905983,0.885246,0.937063,0.834951,0.74359,0.571429]
f_measure
0.8394764976538606 [0.93913,0.742857,0.977778,0.747253,0.781609,0.666667]
f_measure
0.8624467187254532 [0.947368,0.939394,0.942029,0.795918,0.826667,0.567164]
f_measure
0.8512539024980493 [0.886957,0.878788,0.970588,0.785047,0.804598,0.638298]
kappa
0.8519762415648225
kappa
0.895457373988799
kappa
0.8127876601567359
kappa
0.8040465933655775
kappa
0.8424876943511213
kappa
0.7693037138371135
kappa
0.8065431164901664
kappa
0.8036256139143492
kappa
0.8253001674989433
kappa
0.8199631710656783
kb_relative_information_score
222.2976165253762
kb_relative_information_score
229.50549224534788
kb_relative_information_score
220.1601521967369
kb_relative_information_score
222.58393666428105
kb_relative_information_score
223.57906571528213
kb_relative_information_score
213.7297230249131
kb_relative_information_score
215.53430552552382
kb_relative_information_score
218.519136661777
kb_relative_information_score
219.88861717235577
kb_relative_information_score
218.01636146643875
mean_absolute_error
0.07155291555199168
mean_absolute_error
0.06777084448601345
mean_absolute_error
0.07444834785891878
mean_absolute_error
0.06952991732830097
mean_absolute_error
0.06778035275992453
mean_absolute_error
0.07959259919516208
mean_absolute_error
0.07863527373823842
mean_absolute_error
0.07313031559194326
mean_absolute_error
0.07366583701641445
mean_absolute_error
0.07647855883756156
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.8960747354497355 [0.981481,0.958333,0.985294,0.777778,0.925,0.6]
precision
0.9173327747521295 [0.909091,1,0.969697,0.872727,0.926829,0.774194]
precision
0.8577649308046732 [0.931034,1,0.926471,0.836735,0.756757,0.552632]
precision
0.8432416611789137 [0.915254,0.710526,1,0.866667,0.714286,0.62069]
precision
0.8789725075166963 [0.932203,0.961538,0.941176,0.733333,0.948718,0.678571]
precision
0.8234124899959983 [0.910714,0.9375,1,0.72549,0.607843,0.555556]
precision
0.8458768051871501 [0.883333,1,0.893333,0.826923,0.805556,0.551724]
precision
0.846080879557822 [0.931034,0.722222,0.985075,0.85,0.755556,0.606061]
precision
0.8769858477905834 [0.947368,0.96875,0.928571,0.829787,0.939394,0.475]
precision
0.8534045029456597 [0.87931,0.90625,0.970588,0.75,0.777778,0.75]
predictive_accuracy
0.8785714285714286
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.8464285714285714
predictive_accuracy
0.8392857142857143
predictive_accuracy
0.8714285714285714
predictive_accuracy
0.8107142857142857
predictive_accuracy
0.8422939068100358
predictive_accuracy
0.8387096774193549
predictive_accuracy
0.8566308243727598
predictive_accuracy
0.8530465949820788
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.8785714285714286 [0.913793,0.676471,0.985294,0.823529,0.902439,0.857143]
recall
0.9142857142857143 [0.862069,0.941176,0.941176,0.941176,0.926829,0.857143]
recall
0.8464285714285714 [0.931034,0.882353,0.926471,0.803922,0.682927,0.75]
recall
0.8392857142857143 [0.931034,0.794118,0.985294,0.764706,0.731707,0.642857]
recall
0.8714285714285714 [0.948276,0.735294,0.941176,0.846154,0.902439,0.703704]
recall
0.8107142857142857 [0.87931,0.857143,0.926471,0.72549,0.756098,0.555556]
recall
0.8422939068100358 [0.929825,0.794118,0.985294,0.843137,0.690476,0.592593]
recall
0.8387096774193549 [0.947368,0.764706,0.970588,0.666667,0.809524,0.740741]
recall
0.8566308243727598 [0.947368,0.911765,0.955882,0.764706,0.738095,0.703704]
recall
0.8530465949820788 [0.894737,0.852941,0.970588,0.823529,0.833333,0.555556]
relative_absolute_error
0.2621898464754343
relative_absolute_error
0.24833128285858933
relative_absolute_error
0.2727995182991019
relative_absolute_error
0.2547770165495295
relative_absolute_error
0.24845779696427558
relative_absolute_error
0.291679914916093
relative_absolute_error
0.28817353262700496
relative_absolute_error
0.26799959336836576
relative_absolute_error
0.2699621108665692
relative_absolute_error
0.28026985120960146
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.17375990678926778
root_mean_squared_error
0.15777707848786118
root_mean_squared_error
0.17977591077094993
root_mean_squared_error
0.176809560419383
root_mean_squared_error
0.17188840306858505
root_mean_squared_error
0.19185471286496858
root_mean_squared_error
0.18261493844082036
root_mean_squared_error
0.18148301629390462
root_mean_squared_error
0.17923953478891277
root_mean_squared_error
0.17731022840422211
root_relative_squared_error
0.47037830664854574
root_relative_squared_error
0.4271118486330743
root_relative_squared_error
0.4866639839257928
root_relative_squared_error
0.4786338987290475
root_relative_squared_error
0.46548380728076666
root_relative_squared_error
0.5194161919441855
root_relative_squared_error
0.49440421369565796
root_relative_squared_error
0.4913396939811773
root_relative_squared_error
0.4852657839336939
root_relative_squared_error
0.4800424587542475
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
usercpu_time_millis
2445.468131000041
usercpu_time_millis
2400.124409
usercpu_time_millis
2251.9934889999718
usercpu_time_millis
2230.9250160000147
usercpu_time_millis
2419.6959109999625
usercpu_time_millis
2198.3521820000647
usercpu_time_millis
2492.77016100001
usercpu_time_millis
2308.8982670000178
usercpu_time_millis
2241.0143679999805
usercpu_time_millis
2466.846782999994
usercpu_time_millis_testing
28.17598900003304
usercpu_time_millis_testing
28.450565000014194
usercpu_time_millis_testing
28.021797000008064
usercpu_time_millis_testing
27.685679000001073
usercpu_time_millis_testing
28.400296999961938
usercpu_time_millis_testing
28.36069300002464
usercpu_time_millis_testing
28.21647700000085
usercpu_time_millis_testing
28.029999000011685
usercpu_time_millis_testing
28.21904199998926
usercpu_time_millis_testing
28.32005699997353
usercpu_time_millis_training
2417.292142000008
usercpu_time_millis_training
2371.673843999986
usercpu_time_millis_training
2223.9716919999637
usercpu_time_millis_training
2203.2393370000136
usercpu_time_millis_training
2391.2956140000006
usercpu_time_millis_training
2169.99148900004
usercpu_time_millis_training
2464.553684000009
usercpu_time_millis_training
2280.868268000006
usercpu_time_millis_training
2212.7953259999913
usercpu_time_millis_training
2438.5267260000205