8753422
1
Jan van Rijn
14967
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6729553
axis
0
7660
categorical_features
[0, 1]
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copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
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strategy
"most_frequent"
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strategy_nominal
"most_frequent"
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verbose
0
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categorical_features
[0, 1]
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7661
handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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copy
true
7663
with_mean
false
7663
with_std
true
7663
C
0.9539162547707987
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cache_size
200
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class_weight
null
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coef0
-0.16150740078085746
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decision_function_shape
null
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degree
5
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gamma
3.7918786655156698
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kernel
"rbf"
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max_iter
-1
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probability
true
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random_state
2591
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shrinking
false
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tol
0.002149459468048565
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verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
18423245
description
https://api.openml.org/data/download/18423245/description.xml
-1
18423246
predictions
https://api.openml.org/data/download/18423246/predictions.arff
area_under_roc_curve
0.9768624378583672 [0.987911,0.979534,0.990609,0.971656,0.959061,0.952804]
average_cost
0
f_measure
0.8396409743647746 [0.933333,0.887439,0.951426,0.85426,0.655319,0.557009]
kappa
0.7879230761698365
kb_relative_information_score
2151.5551139728927
mean_absolute_error
0.07447596035691785
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.8847888235161121 [1,1,1,1,0.505913,0.570881]
predictive_accuracy
0.8254649499284693
prior_entropy
2.5206634795042744
recall
0.8254649499284692 [0.875,0.797654,0.907353,0.745597,0.929952,0.543796]
relative_absolute_error
0.27292571130505316
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.18912223066164593
root_relative_squared_error
0.5120119471603402
total_cost
0
area_under_roc_curve
0.9915478313128611 [0.994719,0.993902,0.997572,0.986086,0.987754,0.982993]
area_under_roc_curve
0.988946740875584 [0.989127,0.995098,0.995838,0.988013,0.981018,0.977679]
area_under_roc_curve
0.9931191466147686 [0.997515,0.992826,0.996774,0.991095,0.985917,0.989725]
area_under_roc_curve
0.9945868668343519 [0.998835,0.993544,0.997988,0.995376,0.989285,0.985119]
area_under_roc_curve
0.9930005085982437 [0.995185,0.996055,0.99667,0.993674,0.989999,0.97848]
area_under_roc_curve
0.9911932317230135 [0.994719,0.992303,0.995283,0.99071,0.984845,0.982433]
area_under_roc_curve
0.9912864215015719 [0.995733,0.986555,0.998676,0.989336,0.981917,0.987507]
area_under_roc_curve
0.9930733006659033 [0.998657,0.990996,0.9977,0.991056,0.990155,0.9806]
area_under_roc_curve
0.9912982774347209 [0.993678,0.987395,0.996445,0.991744,0.987342,0.983539]
area_under_roc_curve
0.9888288118946622 [0.993678,0.992617,0.998502,0.985681,0.980711,0.968034]
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
0.8243770875170552 [0.93578,0.920635,0.977444,0.785714,0.61194,0.486486]
f_measure
0.8253331150353602 [0.895238,0.9375,0.929134,0.879121,0.616541,0.5]
f_measure
0.8412318583460385 [0.964286,0.847458,0.945736,0.866667,0.677419,0.518519]
f_measure
0.8523102264769387 [0.954955,0.885246,0.945736,0.879121,0.650794,0.619048]
f_measure
0.8806076660401668 [0.90566,0.9375,0.953846,0.88172,0.876712,0.574468]
f_measure
0.8495053353824853 [0.925926,0.90625,0.945736,0.891304,0.645669,0.6]
f_measure
0.8660033907012084 [0.944444,0.847458,0.985075,0.866667,0.7,0.680851]
f_measure
0.8327755501423918 [0.963636,0.866667,0.953846,0.813953,0.636364,0.55]
f_measure
0.8228666488219635 [0.934579,0.827586,0.920635,0.840909,0.641221,0.583333]
f_measure
0.8132594613522859 [0.903846,0.885246,0.953846,0.827586,0.613139,0.461538]
kappa
0.7735191637630662
kappa
0.7699010760690917
kappa
0.776618594660939
kappa
0.8041745022768599
kappa
0.8280283139097454
kappa
0.7999036803430224
kappa
0.8250536909595397
kappa
0.7813616701147263
kappa
0.7647371133215696
kappa
0.7554087479257334
kb_relative_information_score
215.20899435425858
kb_relative_information_score
212.87821098383364
kb_relative_information_score
215.30356227990822
kb_relative_information_score
219.08687162587756
kb_relative_information_score
223.88424115502744
kb_relative_information_score
215.1986160242858
kb_relative_information_score
216.7012261492196
kb_relative_information_score
218.82586630533947
kb_relative_information_score
205.76627699961603
kb_relative_information_score
208.70124809551638
mean_absolute_error
0.07468001440823827
mean_absolute_error
0.07856601659547036
mean_absolute_error
0.07520903744347558
mean_absolute_error
0.07020677127211322
mean_absolute_error
0.06476818178580306
mean_absolute_error
0.07578285248087142
mean_absolute_error
0.07178329489246589
mean_absolute_error
0.06897749890793314
mean_absolute_error
0.08344803849149518
mean_absolute_error
0.08136529115567182
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
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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
0.9181259600614439 [1,1,1,1,0.44086,1]
precision
0.9021609730848862 [1,1,1,1,0.445652,0.833333]
precision
0.935 [1,1,1,1,1,0.35]
precision
0.9170588235294117 [1,1,1,1,0.482353,0.928571]
precision
0.9424307036247336 [1,1,1,1,1,0.402985]
precision
0.9159628162535138 [1,1,1,1,0.476744,0.923077]
precision
0.9111662531017369 [1,1,1,1,0.538462,0.8]
precision
0.9048249241797628 [1,1,1,1,0.466667,0.846154]
precision
0.8882445330433733 [1,1,1,1,0.47191,0.666667]
precision
0.8918222976796831 [1,1,1,1,0.442105,0.75]
predictive_accuracy
0.8142857142857143
predictive_accuracy
0.8107142857142857
predictive_accuracy
0.8142857142857143
predictive_accuracy
0.8392857142857143
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.8357142857142857
predictive_accuracy
0.8566308243727598
predictive_accuracy
0.8207885304659499
predictive_accuracy
0.8064516129032258
predictive_accuracy
0.7992831541218638
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
0.8142857142857143 [0.87931,0.852941,0.955882,0.647059,1,0.321429]
recall
0.8107142857142857 [0.810345,0.882353,0.867647,0.784314,1,0.357143]
recall
0.8142857142857143 [0.931034,0.735294,0.897059,0.764706,0.512195,1]
recall
0.8392857142857143 [0.913793,0.794118,0.897059,0.784314,1,0.464286]
recall
0.8571428571428571 [0.827586,0.882353,0.911765,0.788462,0.780488,1]
recall
0.8357142857142857 [0.862069,0.828571,0.897059,0.803922,1,0.444444]
recall
0.8566308243727598 [0.894737,0.735294,0.970588,0.764706,1,0.592593]
recall
0.8207885304659498 [0.929825,0.764706,0.911765,0.686275,1,0.407407]
recall
0.8064516129032258 [0.877193,0.705882,0.852941,0.72549,1,0.518519]
recall
0.7992831541218638 [0.824561,0.794118,0.911765,0.705882,1,0.333333]
relative_absolute_error
0.27364840917281386
relative_absolute_error
0.28788780541563014
relative_absolute_error
0.2755868971760044
relative_absolute_error
0.2572571982478627
relative_absolute_error
0.2374162881223144
relative_absolute_error
0.2777184837188102
relative_absolute_error
0.2630631863968296
relative_absolute_error
0.2527808270655072
relative_absolute_error
0.30581080092552315
relative_absolute_error
0.2981781873565588
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
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root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.18872247589038588
root_mean_squared_error
0.1949802481384461
root_mean_squared_error
0.18897107870120491
root_mean_squared_error
0.18446053940113089
root_mean_squared_error
0.17745258222927887
root_mean_squared_error
0.18895152715080554
root_mean_squared_error
0.18367145969319262
root_mean_squared_error
0.18256552355122485
root_mean_squared_error
0.2021671039691489
root_mean_squared_error
0.19796067150904764
root_relative_squared_error
0.5108828628890794
root_relative_squared_error
0.5278230211098403
root_relative_squared_error
0.5115558453471268
root_relative_squared_error
0.4993455496739504
root_relative_squared_error
0.4805519285377814
root_relative_squared_error
0.511556277295028
root_relative_squared_error
0.49726459611284524
root_relative_squared_error
0.4942704298450928
root_relative_squared_error
0.5473389467827502
root_relative_squared_error
0.5359506236222428
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
3855.988066003192
usercpu_time_millis
3662.511320988415
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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