6001953
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)
4036685
bootstrap
true
6902
class_weight
null
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criterion
"entropy"
6902
max_depth
null
6902
max_features
0.4118610740975649
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
17
6902
min_samples_split
3
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
62876
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
"mean"
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
12927017
description
https://api.openml.org/data/download/12927017/description.xml
-1
12927018
predictions
https://api.openml.org/data/download/12927018/predictions.arff
area_under_roc_curve
0.9751359383102047 [0.993773,0.966958,0.992892,0.961053,0.967285,0.940193]
average_cost
0
f_measure
0.8374743221138551 [0.951175,0.796117,0.976331,0.791092,0.734177,0.547893]
kappa
0.7999749377183597
kb_relative_information_score
1957.1972384406854
mean_absolute_error
0.10735620283461117
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.8462285573422517 [0.992453,0.755263,0.982143,0.863426,0.651685,0.576613]
predictive_accuracy
0.8358369098712447
prior_entropy
2.5206634795042744
recall
0.8358369098712446 [0.913194,0.841642,0.970588,0.729941,0.84058,0.521898]
relative_absolute_error
0.3934191366076719
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.20550182335394063
root_relative_squared_error
0.556356533826512
total_cost
0
area_under_roc_curve
0.97602021900582 [0.997592,0.966284,0.990982,0.96361,0.966731,0.943027]
area_under_roc_curve
0.980374696796458 [0.997359,0.977822,0.987167,0.978765,0.970303,0.949476]
area_under_roc_curve
0.9783170151144134 [0.996194,0.982186,0.99674,0.964209,0.957138,0.948554]
area_under_roc_curve
0.9753811329218925 [0.997903,0.92133,0.997988,0.976197,0.962445,0.956916]
area_under_roc_curve
0.9831531791062984 [0.997981,0.992587,0.989526,0.97069,0.984794,0.944884]
area_under_roc_curve
0.9682087962952393 [0.985788,0.957434,0.990358,0.952736,0.975814,0.906309]
area_under_roc_curve
0.9806701467256489 [0.994389,0.978511,1,0.980822,0.970062,0.921958]
area_under_roc_curve
0.9716165317215584 [0.996049,0.956603,0.996445,0.930126,0.968154,0.96017]
area_under_roc_curve
0.9661127408896752 [0.983325,0.978031,0.988152,0.938768,0.959011,0.921958]
area_under_roc_curve
0.9799881846777564 [0.991228,0.972989,0.994982,0.976264,0.965843,0.956349]
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
0.8216889581496395 [0.964286,0.757576,0.971014,0.741573,0.72549,0.528302]
f_measure
0.849392690377537 [0.915888,0.783784,0.985075,0.873786,0.744186,0.571429]
f_measure
0.8349963565048152 [0.946429,0.777778,0.977444,0.8,0.708333,0.576923]
f_measure
0.8553537553057083 [0.964912,0.739726,0.992593,0.808511,0.764045,0.654545]
f_measure
0.8581179646848697 [0.964286,0.831169,0.969697,0.816327,0.804124,0.545455]
f_measure
0.8268482361818524 [0.945455,0.815789,0.970588,0.752688,0.755556,0.472727]
f_measure
0.8286902254470253 [0.936937,0.816901,0.971429,0.8,0.688172,0.528302]
f_measure
0.8319914209519943 [0.963636,0.756757,0.992593,0.705882,0.730769,0.64]
f_measure
0.8296757871645161 [0.972973,0.848485,0.948148,0.782609,0.708333,0.482759]
f_measure
0.8342578676089161 [0.934579,0.833333,0.985075,0.807692,0.715789,0.478261]
kappa
0.7822062506806055
kappa
0.8131276288627792
kappa
0.795604566280966
kappa
0.8216089382002392
kappa
0.8301895594569798
kappa
0.787016051414201
kappa
0.7900150526843955
kappa
0.7949331456720619
kappa
0.7861333166465905
kappa
0.7987423356176199
kb_relative_information_score
189.99188652443172
kb_relative_information_score
197.58233842734913
kb_relative_information_score
199.36711224090752
kb_relative_information_score
205.01031681158358
kb_relative_information_score
199.43318044288364
kb_relative_information_score
193.1975173124204
kb_relative_information_score
192.4812020153666
kb_relative_information_score
197.31138473425656
kb_relative_information_score
191.7577170199607
kb_relative_information_score
191.06458291152597
mean_absolute_error
0.11446570043080076
mean_absolute_error
0.10666403122594416
mean_absolute_error
0.10296849808491633
mean_absolute_error
0.09675979227348115
mean_absolute_error
0.10405137989448354
mean_absolute_error
0.11057470634371147
mean_absolute_error
0.11022860412803573
mean_absolute_error
0.10249311691400628
mean_absolute_error
0.10967293486775698
mean_absolute_error
0.11571427890969299
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
0.8374519301033615 [1,0.78125,0.957143,0.868421,0.606557,0.56]
precision
0.856929181929182 [1,0.725,1,0.865385,0.711111,0.571429]
precision
0.8459623806992228 [0.981481,0.736842,1,0.863636,0.618182,0.625]
precision
0.8617173143855037 [0.982143,0.692308,1,0.883721,0.708333,0.666667]
precision
0.8719003994418798 [1,0.744186,1,0.869565,0.696429,0.705882]
precision
0.8355289589703477 [1,0.756098,0.970588,0.833333,0.693878,0.464286]
precision
0.8377350736617023 [0.962963,0.783784,0.944444,0.923077,0.627451,0.538462]
precision
0.8542098357689003 [1,0.7,1,0.882353,0.612903,0.695652]
precision
0.8427372921756857 [1,0.875,0.955224,0.878049,0.62963,0.451613]
precision
0.8416923827116991 [1,0.789474,1,0.792453,0.641509,0.578947]
predictive_accuracy
0.8214285714285714
predictive_accuracy
0.8464285714285714
predictive_accuracy
0.8321428571428571
predictive_accuracy
0.8535714285714286
predictive_accuracy
0.8607142857142857
predictive_accuracy
0.825
predictive_accuracy
0.8279569892473119
predictive_accuracy
0.8315412186379929
predictive_accuracy
0.8243727598566308
predictive_accuracy
0.8351254480286738
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
0.8214285714285714 [0.931034,0.735294,0.985294,0.647059,0.902439,0.5]
recall
0.8464285714285714 [0.844828,0.852941,0.970588,0.882353,0.780488,0.571429]
recall
0.8321428571428572 [0.913793,0.823529,0.955882,0.745098,0.829268,0.535714]
recall
0.8535714285714285 [0.948276,0.794118,0.985294,0.745098,0.829268,0.642857]
recall
0.8607142857142858 [0.931034,0.941176,0.941176,0.769231,0.95122,0.444444]
recall
0.825 [0.896552,0.885714,0.970588,0.686275,0.829268,0.481481]
recall
0.8279569892473119 [0.912281,0.852941,1,0.705882,0.761905,0.518519]
recall
0.8315412186379928 [0.929825,0.823529,0.985294,0.588235,0.904762,0.592593]
recall
0.8243727598566308 [0.947368,0.823529,0.941176,0.705882,0.809524,0.518519]
recall
0.8351254480286738 [0.877193,0.882353,0.970588,0.823529,0.809524,0.407407]
relative_absolute_error
0.41943426331590383
relative_absolute_error
0.39084677061496464
relative_absolute_error
0.37730530609998036
relative_absolute_error
0.35455487572333844
relative_absolute_error
0.38141401699758704
relative_absolute_error
0.40521884276102577
relative_absolute_error
0.4039531464449291
relative_absolute_error
0.37560502007509733
relative_absolute_error
0.40191679346878506
relative_absolute_error
0.4240564182404253
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
0.2134229930023198
root_mean_squared_error
0.20450527116258166
root_mean_squared_error
0.20285326573475845
root_mean_squared_error
0.19360266158191247
root_mean_squared_error
0.19869279341926338
root_mean_squared_error
0.2095321208816662
root_mean_squared_error
0.20711770070236224
root_mean_squared_error
0.20384790491926996
root_mean_squared_error
0.21139739433168617
root_mean_squared_error
0.20927973979069217
root_relative_squared_error
0.5777486182128646
root_relative_squared_error
0.5536078197073381
root_relative_squared_error
0.5491357436682085
root_relative_squared_error
0.5240938131256879
root_relative_squared_error
0.538071657592548
root_relative_squared_error
0.5672749691322089
root_relative_squared_error
0.5607419898530839
root_relative_squared_error
0.5518894785148124
root_relative_squared_error
0.5723286573060858
root_relative_squared_error
0.5665954060334444
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
893.4935619999998
usercpu_time_millis
752.4574089999998
usercpu_time_millis
763.0156679999996
usercpu_time_millis
773.9416600000002
usercpu_time_millis
759.208350999998
usercpu_time_millis
765.7084540000056
usercpu_time_millis
770.4694599999975
usercpu_time_millis
773.9088679999995
usercpu_time_millis
760.0376430000003
usercpu_time_millis
765.1712460000012
usercpu_time_millis_testing
24.749678999999247
usercpu_time_millis_testing
24.56455699999971
usercpu_time_millis_testing
24.424112000000164
usercpu_time_millis_testing
24.52110499999982
usercpu_time_millis_testing
24.72232299999888
usercpu_time_millis_testing
24.891980000003144
usercpu_time_millis_testing
25.227551000000403
usercpu_time_millis_testing
25.227334000000212
usercpu_time_millis_testing
24.971125000000427
usercpu_time_millis_testing
24.50858199999928
usercpu_time_millis_training
868.7438830000006
usercpu_time_millis_training
727.8928520000001
usercpu_time_millis_training
738.5915559999994
usercpu_time_millis_training
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usercpu_time_millis_training
734.4860279999991
usercpu_time_millis_training
740.8164740000025
usercpu_time_millis_training
745.2419089999971
usercpu_time_millis_training
748.6815339999993
usercpu_time_millis_training
735.066518
usercpu_time_millis_training
740.662664000002