10229074
8323
Heinrich Peters
3902
Supervised Classification
13293
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkc_eigenpro=sklearn_extra.fast_kernel.FKC_EigenPro)(1)
8154173
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
bandwidth
6
13292
batch_size
"auto"
13292
coef0
0.001
13292
degree
3
13292
gamma
null
13292
kernel
"rbf"
13292
kernel_params
null
13292
n_components
500
13292
n_epoch
1
13292
random_state
47713
13292
subsample_size
"auto"
13292
memory
null
13293
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fkc_eigenpro", "step_name": "fkc_eigenpro"}}]
13293
verbose
false
13293
copy
true
13294
with_mean
true
13294
with_std
true
13294
openml-python
Sklearn_0.21.2.
1049
pc4
https://www.openml.org/data/download/53932/pc4.arff
-1
21379577
description
https://api.openml.org/data/download/21379577/description.xml
-1
21379578
predictions
https://api.openml.org/data/download/21379578/predictions.arff
area_under_roc_curve
0.6763342696629213 [0.676334,0.676334]
average_cost
0
f_measure
0.8965695148942755 [0.951449,0.501931]
kappa
0.46075243845796565
kb_relative_information_score
0.4683630242678176
mean_absolute_error
0.08847736625514403
mean_prior_absolute_error
0.21475186500554347
number_of_instances
1458 [1280,178]
precision
0.9038405790604613 [0.917938,0.802469]
predictive_accuracy
0.911522633744856
prior_entropy
0.5353265209893541
recall
0.911522633744856 [0.9875,0.365169]
relative_absolute_error
0.4119981274801043
root_mean_prior_squared_error
0.3273844178757506
root_mean_squared_error
0.2974514519297965
root_relative_squared_error
0.9085693627687732
total_cost
0
area_under_roc_curve
0.7144097222222222 [0.71441,0.71441]
area_under_roc_curve
0.6271701388888888 [0.62717,0.62717]
area_under_roc_curve
0.6588541666666666 [0.658854,0.658854]
area_under_roc_curve
0.6549479166666666 [0.654948,0.654948]
area_under_roc_curve
0.74609375 [0.746094,0.746094]
area_under_roc_curve
0.6388888888888888 [0.638889,0.638889]
area_under_roc_curve
0.6588541666666666 [0.658854,0.658854]
area_under_roc_curve
0.6944444444444444 [0.694444,0.694444]
area_under_roc_curve
0.6392463235294118 [0.639246,0.639246]
area_under_roc_curve
0.7313878676470589 [0.731388,0.731388]
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
0.9073118662159758 [0.954545,0.571429]
f_measure
0.8713960876902477 [0.93985,0.384615]
f_measure
0.8874715767289667 [0.947368,0.461538]
f_measure
0.8818816231584389 [0.943396,0.444444]
f_measure
0.9227598885133133 [0.962121,0.642857]
f_measure
0.887946666784752 [0.951673,0.434783]
f_measure
0.8874715767289667 [0.947368,0.461538]
f_measure
0.9096341901390386 [0.958801,0.56]
f_measure
0.8851482153660011 [0.947368,0.416667]
f_measure
0.9214693352624387 [0.962121,0.615385]
kappa
0.5300429184549356
kappa
0.33409350057012555
kappa
0.4173318129988595
kappa
0.3946932006633503
kappa
0.608369098712446
kappa
0.4027690371302705
kappa
0.4173318129988595
kappa
0.5273690406121249
kappa
0.37384330660086407
kappa
0.581408775981524
kb_relative_information_score
0.5092615697547397
kb_relative_information_score
0.3456820930063194
kb_relative_information_score
0.4274718313805295
kb_relative_information_score
0.3865769621934244
kb_relative_information_score
0.5910513081289498
kb_relative_information_score
0.4683667005676346
kb_relative_information_score
0.4274718313805295
kb_relative_information_score
0.5501564389418447
kb_relative_information_score
0.40454945795254316
kb_relative_information_score
0.5746781842518167
mean_absolute_error
0.0821917808219178
mean_absolute_error
0.1095890410958904
mean_absolute_error
0.0958904109589041
mean_absolute_error
0.10273972602739725
mean_absolute_error
0.0684931506849315
mean_absolute_error
0.08904109589041095
mean_absolute_error
0.0958904109589041
mean_absolute_error
0.07534246575342465
mean_absolute_error
0.09655172413793103
mean_absolute_error
0.06896551724137931
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.2156595984237191
mean_prior_absolute_error
0.21109589041095872
mean_prior_absolute_error
0.21109589041095872
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
146 [128,18]
number_of_instances
145 [128,17]
number_of_instances
145 [128,17]
precision
0.9108783239323127 [0.926471,0.8]
precision
0.8711782807226524 [0.905797,0.625]
precision
0.8929422275163789 [0.913043,0.75]
precision
0.882111788821118 [0.912409,0.666667]
precision
0.9296535052377115 [0.933824,0.9]
precision
0.9191683668512581 [0.907801,1]
precision
0.8929422275163789 [0.913043,0.75]
precision
0.9306198876515227 [0.920863,1]
precision
0.8897408438637824 [0.913043,0.714286]
precision
0.9285553301780483 [0.933824,0.888889]
predictive_accuracy
0.9178082191780823
predictive_accuracy
0.8904109589041096
predictive_accuracy
0.904109589041096
predictive_accuracy
0.8972602739726027
predictive_accuracy
0.9315068493150684
predictive_accuracy
0.910958904109589
predictive_accuracy
0.904109589041096
predictive_accuracy
0.9246575342465754
predictive_accuracy
0.9034482758620689
predictive_accuracy
0.9310344827586207
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.5387410557229455
prior_entropy
0.521574187993427
prior_entropy
0.521574187993427
recall
0.9178082191780822 [0.984375,0.444444]
recall
0.8904109589041096 [0.976562,0.277778]
recall
0.9041095890410958 [0.984375,0.333333]
recall
0.8972602739726028 [0.976562,0.333333]
recall
0.9315068493150684 [0.992188,0.5]
recall
0.910958904109589 [1,0.277778]
recall
0.9041095890410958 [0.984375,0.333333]
recall
0.9246575342465754 [1,0.388889]
recall
0.903448275862069 [0.984375,0.294118]
recall
0.9310344827586207 [0.992188,0.470588]
relative_absolute_error
0.38111812051337857
relative_absolute_error
0.5081574940178382
relative_absolute_error
0.44463780726560836
relative_absolute_error
0.47639765064172324
relative_absolute_error
0.3175984337611488
relative_absolute_error
0.41287796388949344
relative_absolute_error
0.44463780726560836
relative_absolute_error
0.3493582771372637
relative_absolute_error
0.4573832486741708
relative_absolute_error
0.3267023204815505
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.32876783675721666
root_mean_prior_squared_error
0.3217523620321372
root_mean_prior_squared_error
0.3217523620321372
root_mean_squared_error
0.28669108954049793
root_mean_squared_error
0.3310423554409472
root_mean_squared_error
0.30966176864266615
root_mean_squared_error
0.3205303823780162
root_mean_squared_error
0.2617119612951068
root_mean_squared_error
0.2983975467231776
root_mean_squared_error
0.30966176864266615
root_mean_squared_error
0.2744858206782723
root_mean_squared_error
0.31072773313293267
root_mean_squared_error
0.2626128657194451
root_relative_squared_error
0.8720168382900821
root_relative_squared_error
1.0069183126493306
root_relative_squared_error
0.9418858356005803
root_relative_squared_error
0.9749444639705325
root_relative_squared_error
0.7960388214263544
root_relative_squared_error
0.9076239016152106
root_relative_squared_error
0.9418858356005803
root_relative_squared_error
0.8348925593988998
root_relative_squared_error
0.9657356706580965
root_relative_squared_error
0.8161956109997877
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
321.78243899397785
usercpu_time_millis
389.77589199566864
usercpu_time_millis
368.93383899951004
usercpu_time_millis
355.09946399906767
usercpu_time_millis
328.0215139966458
usercpu_time_millis
323.1837710009131
usercpu_time_millis
358.0887329990219
usercpu_time_millis
356.8835179976304
usercpu_time_millis
390.6841690004512
usercpu_time_millis
399.94732099512476
usercpu_time_millis_testing
2.705617996980436
usercpu_time_millis_testing
2.942408998933388
usercpu_time_millis_testing
2.6678969989006873
usercpu_time_millis_testing
2.6858079982048366
usercpu_time_millis_testing
2.763687996775843
usercpu_time_millis_testing
2.65268800285412
usercpu_time_millis_testing
2.6782729983096942
usercpu_time_millis_testing
2.6581620004435536
usercpu_time_millis_testing
2.7346130009391345
usercpu_time_millis_testing
2.730289997998625
usercpu_time_millis_training
319.0768209969974
usercpu_time_millis_training
386.83348299673526
usercpu_time_millis_training
366.26594200060936
usercpu_time_millis_training
352.41365600086283
usercpu_time_millis_training
325.25782599986997
usercpu_time_millis_training
320.531082998059
usercpu_time_millis_training
355.4104600007122
usercpu_time_millis_training
354.22535599718685
usercpu_time_millis_training
387.9495559995121
usercpu_time_millis_training
397.21703099712613
wall_clock_time_millis
321.78807258605957
wall_clock_time_millis
389.8031711578369
wall_clock_time_millis
368.9401149749756
wall_clock_time_millis
355.1056385040283
wall_clock_time_millis
328.02867889404297
wall_clock_time_millis
324.8472213745117
wall_clock_time_millis
358.0944538116455
wall_clock_time_millis
356.8899631500244
wall_clock_time_millis
390.6898498535156
wall_clock_time_millis
399.95360374450684
wall_clock_time_millis_testing
2.707958221435547
wall_clock_time_millis_testing
2.9449462890625
wall_clock_time_millis_testing
2.6702880859375
wall_clock_time_millis_testing
2.688169479370117
wall_clock_time_millis_testing
2.7658939361572266
wall_clock_time_millis_testing
2.6552677154541016
wall_clock_time_millis_testing
2.6807785034179688
wall_clock_time_millis_testing
2.6607513427734375
wall_clock_time_millis_testing
2.7375221252441406
wall_clock_time_millis_testing
2.7332305908203125
wall_clock_time_millis_training
319.080114364624
wall_clock_time_millis_training
386.8582248687744
wall_clock_time_millis_training
366.2698268890381
wall_clock_time_millis_training
352.4174690246582
wall_clock_time_millis_training
325.26278495788574
wall_clock_time_millis_training
322.1919536590576
wall_clock_time_millis_training
355.41367530822754
wall_clock_time_millis_training
354.229211807251
wall_clock_time_millis_training
387.9523277282715
wall_clock_time_millis_training
397.2203731536865