6054013
1
Jan van Rijn
14967
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4088666
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
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
true
6948
threshold
0.0
6949
C
816.1269652431229
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.0
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.5014595262095785
6953
kernel
"rbf"
6953
max_iter
-1
6953
probability
true
6953
random_state
16728
6953
shrinking
false
6953
tol
0.05411201752555723
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
13031184
description
https://api.openml.org/data/download/13031184/description.xml
-1
13031185
predictions
https://api.openml.org/data/download/13031185/predictions.arff
area_under_roc_curve
0.9788330089795747 [0.987684,0.981626,0.991631,0.976912,0.962378,0.953432]
average_cost
0
f_measure
0.8501900164589569 [0.938628,0.917058,0.955423,0.855603,0.673684,0.57649]
kappa
0.8068308722925297
kb_relative_information_score
2243.7880551013727
mean_absolute_error
0.06541473988637249
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.8690276409527237 [0.977444,0.983221,0.965465,0.952038,0.597015,0.51585]
predictive_accuracy
0.8412017167381974
prior_entropy
2.5206634795042744
recall
0.8412017167381974 [0.902778,0.859238,0.945588,0.776908,0.772947,0.653285]
relative_absolute_error
0.23971982808631082
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.17418764155365402
root_relative_squared_error
0.47157942887589244
total_cost
0
area_under_roc_curve
0.982655174027435 [0.988583,0.987984,0.995907,0.985101,0.969181,0.946995]
area_under_roc_curve
0.9813115327307328 [0.988894,0.99725,0.986057,0.984845,0.962343,0.956066]
area_under_roc_curve
0.9823238528336865 [0.994059,0.988881,0.99067,0.977181,0.961578,0.969529]
area_under_roc_curve
0.9791718868643218 [0.985788,0.976327,0.995977,0.982447,0.959588,0.950822]
area_under_roc_curve
0.9847861906165198 [0.989981,0.997131,0.994347,0.97613,0.972548,0.969258]
area_under_roc_curve
0.9768866571456061 [0.99169,0.980525,0.993688,0.970588,0.952342,0.947226]
area_under_roc_curve
0.9838120720176731 [0.992572,0.986435,0.99763,0.983488,0.958107,0.967813]
area_under_roc_curve
0.9846249992852449 [0.998498,0.976591,0.992891,0.972738,0.979908,0.974427]
area_under_roc_curve
0.9807388994139877 [0.993599,0.979832,0.994146,0.976264,0.964939,0.953998]
area_under_roc_curve
0.9765190329054323 [0.986882,0.980432,0.989685,0.976006,0.96082,0.941946]
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
0.8513584957706904 [0.955752,0.923077,0.970588,0.818182,0.678899,0.571429]
f_measure
0.8732614406027434 [0.909091,0.985075,0.953846,0.905263,0.678899,0.693878]
f_measure
0.8604584539651985 [0.964286,0.903226,0.940299,0.863158,0.739726,0.571429]
f_measure
0.8210409840574187 [0.928571,0.888889,0.948905,0.851064,0.596154,0.48]
f_measure
0.8531451679077884 [0.909091,0.955224,0.948148,0.83871,0.672897,0.666667]
f_measure
0.8502010761211013 [0.945455,0.923077,0.955224,0.869565,0.666667,0.528736]
f_measure
0.8476799068370139 [0.954128,0.866667,0.942857,0.87234,0.685714,0.564706]
f_measure
0.8658838043389283 [0.947368,0.870968,0.970149,0.847826,0.701754,0.714286]
f_measure
0.8580534397439413 [0.945455,0.920635,0.954545,0.87234,0.710526,0.554217]
f_measure
0.8311762485194546 [0.925926,0.923077,0.970149,0.813187,0.637931,0.5]
kappa
0.8126624033359785
kappa
0.8348492844503772
kappa
0.813921859545005
kappa
0.7732016573725038
kappa
0.8127556336604407
kappa
0.797113961519487
kappa
0.7999750631214737
kappa
0.8290011315061604
kappa
0.8092278046278885
kappa
0.7856706122129027
kb_relative_information_score
223.69949912616093
kb_relative_information_score
225.47660072832926
kb_relative_information_score
223.53769108943868
kb_relative_information_score
223.07953350706862
kb_relative_information_score
230.25780939320558
kb_relative_information_score
223.249396443249
kb_relative_information_score
222.89822920652426
kb_relative_information_score
227.6526672529302
kb_relative_information_score
222.71765631129202
kb_relative_information_score
221.2189720431728
mean_absolute_error
0.06628284813498861
mean_absolute_error
0.06781625377987718
mean_absolute_error
0.06762122594787126
mean_absolute_error
0.06584958606983937
mean_absolute_error
0.05888108554059734
mean_absolute_error
0.0661628824305758
mean_absolute_error
0.06562426156656329
mean_absolute_error
0.060298963093420435
mean_absolute_error
0.06706905056686664
mean_absolute_error
0.06854079211812446
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
0.8801635434628793 [0.981818,0.967742,0.970588,0.972973,0.544118,0.666667]
precision
0.9020915359150653 [0.961538,1,1,0.977273,0.544118,0.809524]
precision
0.8965198863636363 [1,1,0.954545,0.931818,0.84375,0.428571]
precision
0.8415235713774568 [0.962963,0.965517,0.942029,0.930233,0.492063,0.545455]
precision
0.8789022542454858 [0.961538,0.969697,0.955224,0.95122,0.545455,0.761905]
precision
0.8956693820865732 [1,1,0.969697,0.97561,0.774194,0.383333]
precision
0.8929521652443762 [1,1,0.916667,0.953488,0.857143,0.413793]
precision
0.9053797122247161 [0.947368,0.964286,0.984848,0.95122,0.555556,1]
precision
0.8958142013239687 [0.981132,1,0.984375,0.953488,0.794118,0.410714]
precision
0.8652360715147641 [0.980392,0.967742,0.984848,0.925,0.5,0.647059]
predictive_accuracy
0.8464285714285714
predictive_accuracy
0.8642857142857143
predictive_accuracy
0.8464285714285714
predictive_accuracy
0.8142857142857143
predictive_accuracy
0.8464285714285714
predictive_accuracy
0.8321428571428571
predictive_accuracy
0.8351254480286738
predictive_accuracy
0.8602150537634408
predictive_accuracy
0.8422939068100358
predictive_accuracy
0.8243727598566308
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
0.8464285714285714 [0.931034,0.882353,0.970588,0.705882,0.902439,0.5]
recall
0.8642857142857143 [0.862069,0.970588,0.911765,0.843137,0.902439,0.607143]
recall
0.8464285714285714 [0.931034,0.823529,0.926471,0.803922,0.658537,0.857143]
recall
0.8142857142857143 [0.896552,0.823529,0.955882,0.784314,0.756098,0.428571]
recall
0.8464285714285714 [0.862069,0.941176,0.941176,0.75,0.878049,0.592593]
recall
0.8321428571428572 [0.896552,0.857143,0.941176,0.784314,0.585366,0.851852]
recall
0.8351254480286738 [0.912281,0.764706,0.970588,0.803922,0.571429,0.888889]
recall
0.8602150537634409 [0.947368,0.794118,0.955882,0.764706,0.952381,0.555556]
recall
0.8422939068100358 [0.912281,0.852941,0.926471,0.803922,0.642857,0.851852]
recall
0.8243727598566308 [0.877193,0.882353,0.955882,0.72549,0.880952,0.407407]
relative_absolute_error
0.24287884906436152
relative_absolute_error
0.24849767518089852
relative_absolute_error
0.2477830387899479
relative_absolute_error
0.2412912559737268
relative_absolute_error
0.21583636261231767
relative_absolute_error
0.24246455214553211
relative_absolute_error
0.24049226743492702
relative_absolute_error
0.22097672434154136
relative_absolute_error
0.2457869644624214
relative_absolute_error
0.2511804341075035
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
0.17445981314649192
root_mean_squared_error
0.17368829557614798
root_mean_squared_error
0.17543504478374228
root_mean_squared_error
0.17717913292785703
root_mean_squared_error
0.1664198736913417
root_mean_squared_error
0.1778859059532536
root_mean_squared_error
0.1743854645464808
root_mean_squared_error
0.1672034797831585
root_mean_squared_error
0.17644653701862742
root_mean_squared_error
0.17832475438512257
root_relative_squared_error
0.4722729944002082
root_relative_squared_error
0.47018445087487065
root_relative_squared_error
0.47491300390870916
root_relative_squared_error
0.4796343532869029
root_relative_squared_error
0.45067471120853037
root_relative_squared_error
0.48159786377419544
root_relative_squared_error
0.4721240727356761
root_relative_squared_error
0.4526798609970221
root_relative_squared_error
0.47770413602984974
root_relative_squared_error
0.4827891448914468
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
3156.0396929999115
usercpu_time_millis
2975.0414159934735
usercpu_time_millis
2997.286689991597
usercpu_time_millis
3011.5191439981572
usercpu_time_millis
3021.460357995238
usercpu_time_millis
3039.5042410018505
usercpu_time_millis
3080.0698260063655
usercpu_time_millis
3041.7120089987293
usercpu_time_millis
2991.6981229980593
usercpu_time_millis
2987.0749229958165
usercpu_time_millis_testing
81.05644000170287
usercpu_time_millis_testing
80.23842499824241
usercpu_time_millis_testing
81.99965999665437
usercpu_time_millis_testing
81.48998500109883
usercpu_time_millis_testing
81.8054609990213
usercpu_time_millis_testing
82.65751200087834
usercpu_time_millis_testing
83.11273400613572
usercpu_time_millis_testing
80.39275099872611
usercpu_time_millis_testing
80.97747700230684
usercpu_time_millis_testing
80.42733799811685
usercpu_time_millis_training
3074.9832529982086
usercpu_time_millis_training
2894.802990995231
usercpu_time_millis_training
2915.2870299949427
usercpu_time_millis_training
2930.0291589970584
usercpu_time_millis_training
2939.654896996217
usercpu_time_millis_training
2956.846729000972
usercpu_time_millis_training
2996.9570920002297
usercpu_time_millis_training
2961.319258000003
usercpu_time_millis_training
2910.7206459957524
usercpu_time_millis_training
2906.6475849976996