6008895
1
Jan van Rijn
14967
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
4043596
class_weight
null
6941
criterion
"gini"
6941
max_depth
1
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
44366
6941
splitter
"best"
6941
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"
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n_values
"auto"
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sparse
false
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threshold
0.0
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algorithm
"SAMME"
6971
learning_rate
0.7188797348242159
6971
n_estimators
80
6971
random_state
11538
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
12940925
description
https://api.openml.org/data/download/12940925/description.xml
-1
12940926
predictions
https://api.openml.org/data/download/12940926/predictions.arff
area_under_roc_curve
0.9193532107771143 [0.943116,0.913629,0.888797,0.881141,0.971967,0.944124]
average_cost
0
f_measure
0.731298971651415 [0.843836,0.801406,0.695203,0.647225,0.71575,0.677346]
kappa
0.6674956176112801
kb_relative_information_score
116.83997747107043
mean_absolute_error
0.2775035546535997
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.7641994150483186 [0.890173,1,0.697778,0.623188,0.582701,0.907975]
predictive_accuracy
0.7285407725321889
prior_entropy
2.5206634795042744
recall
0.7285407725321889 [0.802083,0.668622,0.692647,0.67319,0.927536,0.540146]
relative_absolute_error
1.0169436510861902
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.37231035875332646
root_relative_squared_error
1.0079584566359219
total_cost
0
area_under_roc_curve
0.9169412371924257 [0.939733,0.900825,0.918459,0.848831,0.956067,0.952381]
area_under_roc_curve
0.9207980451040765 [0.909677,0.957556,0.874931,0.904829,0.981529,0.950751]
area_under_roc_curve
0.9305834657570595 [0.975614,0.890304,0.884261,0.927134,0.970099,0.947137]
area_under_roc_curve
0.9303868165288797 [0.962139,0.874641,0.917175,0.901447,0.967037,0.963435]
area_under_roc_curve
0.9219784604837804 [0.951926,0.945361,0.885093,0.881621,0.962802,0.936832]
area_under_roc_curve
0.9087471885033416 [0.914414,0.921983,0.878017,0.865143,0.986988,0.920363]
area_under_roc_curve
0.9391714884318365 [0.92939,0.960804,0.932151,0.908454,0.983424,0.939447]
area_under_roc_curve
0.9408771881024436 [0.978149,0.97587,0.906712,0.861713,0.991511,0.974941]
area_under_roc_curve
0.9301259747403487 [0.971867,0.911405,0.90943,0.887943,0.968505,0.937684]
area_under_roc_curve
0.9112585622473091 [0.947487,0.866687,0.884095,0.86339,0.962929,0.969356]
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
0.7274288126125885 [0.851485,0.785714,0.764331,0.631579,0.648649,0.6]
f_measure
0.7568529617827198 [0.84,0.866667,0.734694,0.761905,0.619048,0.697674]
f_measure
0.7750805009399802 [0.93578,0.64,0.741176,0.8,0.737864,0.697674]
f_measure
0.763137467391922 [0.873786,0.807018,0.76129,0.692308,0.727273,0.666667]
f_measure
0.7329025779617628 [0.862745,0.807018,0.705882,0.683544,0.672566,0.615385]
f_measure
0.6244067173193296 [0.622754,0.90625,0.4,0.625,0.740741,0.65]
f_measure
0.6928852510296166 [0.871287,0.827586,0.521739,0.552147,0.796117,0.682927]
f_measure
0.8148109204813653 [0.903846,0.885246,0.77551,0.673913,0.896552,0.776119]
f_measure
0.7911085710842254 [0.944444,0.716981,0.824324,0.747475,0.722222,0.666667]
f_measure
0.6108095736563478 [0.86,0.716981,0.380952,0.506024,0.66087,0.65]
kappa
0.6613045117506597
kappa
0.6855895196506551
kappa
0.7211772516043372
kappa
0.7051195397601345
kappa
0.6646178092986602
kappa
0.5703258207520848
kappa
0.6221101303068517
kappa
0.7726410806914169
kappa
0.744048842984357
kappa
0.5319228259856464
kb_relative_information_score
11.777447671961522
kb_relative_information_score
11.84280593655438
kb_relative_information_score
11.813028556824019
kb_relative_information_score
11.840907333425255
kb_relative_information_score
11.47946138595717
kb_relative_information_score
11.679813258936262
kb_relative_information_score
11.568825110863576
kb_relative_information_score
11.645713967787149
kb_relative_information_score
11.586380984227226
kb_relative_information_score
11.605593264534132
mean_absolute_error
0.2775122974053236
mean_absolute_error
0.2775047178377035
mean_absolute_error
0.2774642620214073
mean_absolute_error
0.27749401592497003
mean_absolute_error
0.27751169620959065
mean_absolute_error
0.27752183873089314
mean_absolute_error
0.2775058877632391
mean_absolute_error
0.2774976031411719
mean_absolute_error
0.2775039053167221
mean_absolute_error
0.2775193669870916
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
0.7917897792416252 [1,1,0.674157,0.681818,0.514286,1]
precision
0.8383832957809131 [1,1,0.683544,0.969697,0.458824,1]
precision
0.8504608294930875 [1,1,0.617647,1,0.612903,1]
precision
0.8078740279455959 [1,1,0.678161,0.679245,0.62069,1]
precision
0.8308531746031745 [1,1,0.588235,1,0.527778,1]
precision
0.7719547739676454 [0.477064,1,1,0.666667,0.597015,1]
precision
0.841292400090655 [1,1,1,0.401786,0.672131,1]
precision
0.8335995223978373 [1,1,0.721519,0.756098,0.866667,0.65]
precision
0.8321888237210817 [1,1,0.7625,0.770833,0.590909,0.933333]
precision
0.8117888912371035 [1,1,1,0.365217,0.520548,1]
predictive_accuracy
0.725
predictive_accuracy
0.7428571428571429
predictive_accuracy
0.775
predictive_accuracy
0.7607142857142857
predictive_accuracy
0.7285714285714286
predictive_accuracy
0.6464285714285714
predictive_accuracy
0.6881720430107526
predictive_accuracy
0.8136200716845878
predictive_accuracy
0.7921146953405018
predictive_accuracy
0.6129032258064516
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
0.725 [0.741379,0.647059,0.882353,0.588235,0.878049,0.428571]
recall
0.7428571428571429 [0.724138,0.764706,0.794118,0.627451,0.95122,0.535714]
recall
0.775 [0.87931,0.470588,0.926471,0.666667,0.926829,0.535714]
recall
0.7607142857142857 [0.775862,0.676471,0.867647,0.705882,0.878049,0.5]
recall
0.7285714285714285 [0.758621,0.676471,0.882353,0.519231,0.926829,0.444444]
recall
0.6464285714285715 [0.896552,0.828571,0.25,0.588235,0.97561,0.481481]
recall
0.6881720430107527 [0.77193,0.705882,0.352941,0.882353,0.97619,0.518519]
recall
0.8136200716845878 [0.824561,0.794118,0.838235,0.607843,0.928571,0.962963]
recall
0.7921146953405018 [0.894737,0.558824,0.897059,0.72549,0.928571,0.518519]
recall
0.6129032258064516 [0.754386,0.558824,0.235294,0.823529,0.904762,0.481481]
relative_absolute_error
1.0168824860655392
relative_absolute_error
1.0168547124150127
relative_absolute_error
1.016706471016575
relative_absolute_error
1.0168154976208295
relative_absolute_error
1.0172556185458685
relative_absolute_error
1.0170235314203042
relative_absolute_error
1.0169717507149512
relative_absolute_error
1.016941390182151
relative_absolute_error
1.0169644856723195
relative_absolute_error
1.0170211478286126
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
0.37232208719030185
root_mean_squared_error
0.3723118967414791
root_mean_squared_error
0.3722576654054727
root_mean_squared_error
0.37229755861054387
root_mean_squared_error
0.37232128917149154
root_mean_squared_error
0.3723349167241612
root_mean_squared_error
0.3723134904063052
root_mean_squared_error
0.37230233425033554
root_mean_squared_error
0.37231082367002744
root_mean_squared_error
0.3723315795282034
root_relative_squared_error
1.0078978294620227
root_relative_squared_error
1.0078702433165774
root_relative_squared_error
1.0077234358943743
root_relative_squared_error
1.0078314291512478
root_relative_squared_error
1.0082677372136448
root_relative_squared_error
1.0080377056404972
root_relative_squared_error
1.0079863128627204
root_relative_squared_error
1.0079561091424383
root_relative_squared_error
1.0079790930500163
root_relative_squared_error
1.0080352866113356
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
346.40731499894173
usercpu_time_millis
361.66166799739585
usercpu_time_millis
343.3429570031876
usercpu_time_millis
364.9099450049107
usercpu_time_millis
270.55624299828196
usercpu_time_millis
269.48643500509206
usercpu_time_millis
270.5371419979201
usercpu_time_millis
270.991221004806
usercpu_time_millis
270.61781200245605
usercpu_time_millis
269.76676099729957
usercpu_time_millis_testing
18.19633199920645
usercpu_time_millis_testing
14.688429000671022
usercpu_time_millis_testing
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usercpu_time_millis_testing
14.745964002941037
usercpu_time_millis_testing
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usercpu_time_millis_testing
14.714128003106453
usercpu_time_millis_testing
14.81575499929022
usercpu_time_millis_testing
14.863342003081925
usercpu_time_millis_testing
14.824824000243098
usercpu_time_millis_testing
14.754583000467392
usercpu_time_millis_training
328.2109829997353
usercpu_time_millis_training
346.97323899672483
usercpu_time_millis_training
322.61744200150133
usercpu_time_millis_training
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usercpu_time_millis_training
255.82658699931926
usercpu_time_millis_training
254.7723070019856
usercpu_time_millis_training
255.7213869986299
usercpu_time_millis_training
256.12787900172407
usercpu_time_millis_training
255.79298800221295
usercpu_time_millis_training
255.01217799683218