10327875
8323
Heinrich Peters
146817
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8183528
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
1091.7044234294376
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.22557986981301337
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0014491159214531093
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
57905
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
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": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
40982
steel-plates-fault
https://www.openml.org/data/download/18151921/php5s7Ep8
-1
21577436
description
https://api.openml.org/data/download/21577436/description.xml
-1
21577437
predictions
https://api.openml.org/data/download/21577437/predictions.arff
area_under_roc_curve
0.8330583021050577 [0.784646,0.879167,0.96416,0.761826,0.757209,0.964208,0.918035]
average_cost
0
f_measure
0.7533768406198367 [0.646919,0.785047,0.951886,0.68884,0.596491,0.937063,0.850394]
kappa
0.6809348941843426
kb_relative_information_score
0.7204674889623957
mean_absolute_error
0.070655773901524
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7559767971471072 [0.617647,0.807692,0.968254,0.685294,0.669291,0.943662,0.848168]
predictive_accuracy
0.7527047913446677
prior_entropy
2.4106995883230287
recall
0.7527047913446677 [0.679104,0.763636,0.936061,0.692422,0.537975,0.930556,0.852632]
relative_absolute_error
0.317777082965157
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.2658115383152582
root_relative_squared_error
0.797361847958407
total_cost
0
area_under_roc_curve
0.8368868487966005 [0.804957,0.794737,0.952823,0.78399,0.719444,0.9375,0.909689]
area_under_roc_curve
0.8279914810864949 [0.736251,0.9,0.987179,0.749207,0.801264,0.997326,0.918195]
area_under_roc_curve
0.8367918348817226 [0.776299,0.9,0.974359,0.793884,0.650632,1,0.915338]
area_under_roc_curve
0.807342044340957 [0.773052,0.997354,0.919851,0.730509,0.673455,0.928571,0.941654]
area_under_roc_curve
0.8672842161932413 [0.854545,0.894709,0.983954,0.800187,0.710323,1,0.970827]
area_under_roc_curve
0.8359361113929135 [0.788799,0.75,0.961538,0.757081,0.917837,0.997326,0.854135]
area_under_roc_curve
0.8129972116062186 [0.797078,0.914007,0.951778,0.716653,0.684691,0.925898,0.93594]
area_under_roc_curve
0.8291561829851138 [0.751299,0.914007,0.974359,0.738218,0.792837,1,0.956541]
area_under_roc_curve
0.8413885632947133 [0.788312,0.908688,0.974359,0.775943,0.866573,0.857143,0.862707]
area_under_roc_curve
0.8344415741180995 [0.776299,0.833333,0.961538,0.771183,0.7527,0.997312,0.915338]
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
0.7528751724226836 [0.682353,0.6,0.925,0.716418,0.518519,0.933333,0.820513]
f_measure
0.7504642176167239 [0.574713,0.888889,0.987013,0.671642,0.666667,0.933333,0.888889]
f_measure
0.7634418391434755 [0.641975,0.888889,0.973684,0.72973,0.434783,1,0.864865]
f_measure
0.7223356733924349 [0.634146,0.909091,0.90411,0.652778,0.444444,0.923077,0.894737]
f_measure
0.8009771158896068 [0.744186,0.727273,0.974359,0.740741,0.538462,1,0.947368]
f_measure
0.7531171290613082 [0.658537,0.666667,0.96,0.681818,0.756757,0.933333,0.736842]
f_measure
0.7089614960616275 [0.638298,0.833333,0.891566,0.622951,0.521739,0.857143,0.85]
f_measure
0.7415781491982679 [0.607595,0.833333,0.973684,0.656489,0.606061,1,0.837209]
f_measure
0.7669089613360602 [0.643678,0.714286,0.973684,0.706767,0.774194,0.833333,0.8]
f_measure
0.7595478614136386 [0.641975,0.8,0.96,0.7,0.571429,0.941176,0.864865]
kappa
0.6826150350954528
kappa
0.6739607627932501
kappa
0.6946484784889821
kappa
0.6369181714206494
kappa
0.7468319653834267
kappa
0.683545164140556
kappa
0.638047423589674
kappa
0.671542733306244
kappa
0.6950519409513395
kappa
0.6863217283610843
kb_relative_information_score
0.7116179753884766
kb_relative_information_score
0.7220264086211238
kb_relative_information_score
0.7238165145175988
kb_relative_information_score
0.6852592866219126
kb_relative_information_score
0.7757610612870232
kb_relative_information_score
0.7240879644727457
kb_relative_information_score
0.6848239059154966
kb_relative_information_score
0.7238705574166251
kb_relative_information_score
0.7300477492354045
kb_relative_information_score
0.7235559447140006
mean_absolute_error
0.07032967032967039
mean_absolute_error
0.07216494845360831
mean_absolute_error
0.06627393225331374
mean_absolute_error
0.07952871870397651
mean_absolute_error
0.055964653902798256
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.08100147275405016
mean_absolute_error
0.07363770250368196
mean_absolute_error
0.06774668630338739
mean_absolute_error
0.06921944035346103
mean_prior_absolute_error
0.22235334822603825
mean_prior_absolute_error
0.2222580918309025
mean_prior_absolute_error
0.22205320664221154
mean_prior_absolute_error
0.22205320664221154
mean_prior_absolute_error
0.22205320664221154
mean_prior_absolute_error
0.2225204355964957
mean_prior_absolute_error
0.2225204355964957
mean_prior_absolute_error
0.2225204355964957
mean_prior_absolute_error
0.2225204355964957
mean_prior_absolute_error
0.2225854545124641
number_of_instances
195 [41,5,40,67,15,8,19]
number_of_instances
194 [41,5,39,67,16,7,19]
number_of_instances
194 [40,5,39,68,16,7,19]
number_of_instances
194 [40,5,39,68,16,7,19]
number_of_instances
194 [40,5,39,68,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,15,8,19]
precision
0.7537062937062935 [0.659091,0.6,0.925,0.716418,0.583333,1,0.8]
precision
0.756281098275258 [0.543478,1,1,0.671642,0.714286,0.875,0.941176]
precision
0.7762026493608087 [0.634146,1,1,0.675,0.714286,1,0.888889]
precision
0.7296980253157841 [0.619048,0.833333,0.970588,0.618421,0.545455,1,0.894737]
precision
0.8046684997245953 [0.695652,0.666667,0.974359,0.746269,0.7,1,0.947368]
precision
0.7623225142555039 [0.642857,1,1,0.692308,0.666667,0.875,0.736842]
precision
0.7288856904836286 [0.555556,0.833333,0.840909,0.690909,0.857143,0.857143,0.809524]
precision
0.7437771872230255 [0.615385,0.833333,1,0.671875,0.588235,1,0.75]
precision
0.7768912806503286 [0.595745,0.625,1,0.712121,0.8,1,0.875]
precision
0.7658207506651126 [0.634146,1,1,0.671233,0.615385,0.888889,0.888889]
predictive_accuracy
0.7538461538461538
predictive_accuracy
0.7474226804123711
predictive_accuracy
0.7680412371134021
predictive_accuracy
0.7216494845360825
predictive_accuracy
0.8041237113402062
predictive_accuracy
0.7525773195876289
predictive_accuracy
0.7164948453608246
predictive_accuracy
0.7422680412371134
predictive_accuracy
0.7628865979381443
predictive_accuracy
0.7577319587628866
prior_entropy
2.4086971702017688
prior_entropy
2.4034011426545026
prior_entropy
2.3995765614552553
prior_entropy
2.3995765614552553
prior_entropy
2.3995765614552553
prior_entropy
2.4180778493888857
prior_entropy
2.4180778493888857
prior_entropy
2.4180778493888857
prior_entropy
2.4180778493888857
prior_entropy
2.4238668101950935
recall
0.7538461538461538 [0.707317,0.6,0.925,0.716418,0.466667,0.875,0.842105]
recall
0.7474226804123711 [0.609756,0.8,0.974359,0.671642,0.625,1,0.842105]
recall
0.7680412371134021 [0.65,0.8,0.948718,0.794118,0.3125,1,0.842105]
recall
0.7216494845360825 [0.65,1,0.846154,0.691176,0.375,0.857143,0.894737]
recall
0.8041237113402062 [0.8,0.8,0.974359,0.735294,0.4375,1,0.947368]
recall
0.7525773195876289 [0.675,0.5,0.923077,0.671642,0.875,1,0.736842]
recall
0.7164948453608248 [0.75,0.833333,0.948718,0.567164,0.375,0.857143,0.894737]
recall
0.7422680412371134 [0.6,0.833333,0.948718,0.641791,0.625,1,0.947368]
recall
0.7628865979381443 [0.7,0.833333,0.948718,0.701493,0.75,0.714286,0.736842]
recall
0.7577319587628866 [0.65,0.666667,0.923077,0.731343,0.533333,1,0.842105]
relative_absolute_error
0.31629688012691937
relative_absolute_error
0.32468985879943824
relative_absolute_error
0.29845969466272637
relative_absolute_error
0.35815163359527175
relative_absolute_error
0.2520326310485244
relative_absolute_error
0.31768854943158276
relative_absolute_error
0.36401812955702206
relative_absolute_error
0.3309255723245655
relative_absolute_error
0.3044515265386002
relative_absolute_error
0.31097917204461784
root_mean_prior_squared_error
0.33337802806616484
root_mean_prior_squared_error
0.3332351320046385
root_mean_prior_squared_error
0.33292757172312704
root_mean_prior_squared_error
0.33292757172312704
root_mean_prior_squared_error
0.33292757172312704
root_mean_prior_squared_error
0.3336285314054271
root_mean_prior_squared_error
0.3336285314054271
root_mean_prior_squared_error
0.3336285314054271
root_mean_prior_squared_error
0.3336285314054271
root_mean_prior_squared_error
0.33372595925955534
root_mean_squared_error
0.2651974176527184
root_mean_squared_error
0.2686353447586678
root_mean_squared_error
0.2574372394454884
root_mean_squared_error
0.28200836637230553
root_mean_squared_error
0.23656849727467572
root_mean_squared_error
0.26588003761759677
root_mean_squared_error
0.28460757676852205
root_mean_squared_error
0.2713626770646287
root_mean_squared_error
0.2602819361834151
root_mean_squared_error
0.2630958767321545
root_relative_squared_error
0.795485590910284
root_relative_squared_error
0.8061435273725235
root_relative_squared_error
0.7732529874683413
root_relative_squared_error
0.8470562077893401
root_relative_squared_error
0.7105704584642015
root_relative_squared_error
0.7969343523995494
root_relative_squared_error
0.8530672588750075
root_relative_squared_error
0.8133677174476045
root_relative_squared_error
0.7801549078760268
root_relative_squared_error
0.7883590396021057
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
164.50422800699016
usercpu_time_millis
161.45569499349222
usercpu_time_millis
160.1066669973079
usercpu_time_millis
160.09599399694707
usercpu_time_millis
162.09024299314478
usercpu_time_millis
163.77225999895018
usercpu_time_millis
161.68947800179012
usercpu_time_millis
159.16581000055885
usercpu_time_millis
160.13007400761126
usercpu_time_millis
161.19321800215403
usercpu_time_millis_testing
11.945007005124353
usercpu_time_millis_testing
11.794289996032603
usercpu_time_millis_testing
11.975339999480639
usercpu_time_millis_testing
11.745882999093737
usercpu_time_millis_testing
12.032551996526308
usercpu_time_millis_testing
11.741292000806425
usercpu_time_millis_testing
11.47569999739062
usercpu_time_millis_testing
11.655689995677676
usercpu_time_millis_testing
11.646616003417876
usercpu_time_millis_testing
11.825254005088937
usercpu_time_millis_training
152.5592210018658
usercpu_time_millis_training
149.6614049974596
usercpu_time_millis_training
148.13132699782727
usercpu_time_millis_training
148.35011099785333
usercpu_time_millis_training
150.05769099661848
usercpu_time_millis_training
152.03096799814375
usercpu_time_millis_training
150.2137780043995
usercpu_time_millis_training
147.51012000488117
usercpu_time_millis_training
148.48345800419338
usercpu_time_millis_training
149.3679639970651
wall_clock_time_millis
212.52751350402832
wall_clock_time_millis
161.48614883422852
wall_clock_time_millis
160.15219688415527
wall_clock_time_millis
160.1548194885254
wall_clock_time_millis
162.27483749389648
wall_clock_time_millis
195.79672813415527
wall_clock_time_millis
161.726713180542
wall_clock_time_millis
159.20305252075195
wall_clock_time_millis
160.20631790161133
wall_clock_time_millis
161.2222194671631
wall_clock_time_millis_testing
11.956930160522461
wall_clock_time_millis_testing
11.807680130004883
wall_clock_time_millis_testing
11.989116668701172
wall_clock_time_millis_testing
11.758089065551758
wall_clock_time_millis_testing
12.047529220581055
wall_clock_time_millis_testing
11.750936508178711
wall_clock_time_millis_testing
11.486291885375977
wall_clock_time_millis_testing
11.667490005493164
wall_clock_time_millis_testing
11.656522750854492
wall_clock_time_millis_testing
11.837482452392578
wall_clock_time_millis_training
200.57058334350586
wall_clock_time_millis_training
149.67846870422363
wall_clock_time_millis_training
148.1630802154541
wall_clock_time_millis_training
148.39673042297363
wall_clock_time_millis_training
150.22730827331543
wall_clock_time_millis_training
184.04579162597656
wall_clock_time_millis_training
150.24042129516602
wall_clock_time_millis_training
147.5355625152588
wall_clock_time_millis_training
148.54979515075684
wall_clock_time_millis_training
149.3847370147705