10327821
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)
8183474
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
342.1500094579436
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.11211673211000539
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0002439736664759569
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
4001
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
21577328
description
https://api.openml.org/data/download/21577328/description.xml
-1
21577329
predictions
https://api.openml.org/data/download/21577329/predictions.arff
area_under_roc_curve
0.8126642108185425 [0.759167,0.752159,0.958065,0.737412,0.739344,0.963405,0.914547]
average_cost
0
f_measure
0.7232116957028882 [0.607059,0.608696,0.939198,0.657373,0.574545,0.917808,0.840731]
kappa
0.6419549907355689
kb_relative_information_score
0.6811840675621791
mean_absolute_error
0.07904614705232968
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7274681011097099 [0.575893,0.756757,0.950262,0.649275,0.675214,0.905405,0.834197]
predictive_accuracy
0.723338485316847
prior_entropy
2.4106995883230287
recall
0.723338485316847 [0.641791,0.509091,0.928389,0.665676,0.5,0.930556,0.847368]
relative_absolute_error
0.35551311156726806
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.2811514663883681
root_relative_squared_error
0.843377432810172
total_cost
0
area_under_roc_curve
0.8359637275158815 [0.792762,0.697368,0.959274,0.775828,0.755556,0.9375,0.938846]
area_under_roc_curve
0.7961919773557193 [0.710984,0.6,0.977502,0.700082,0.806882,0.997326,0.915338]
area_under_roc_curve
0.8104914025535307 [0.748052,0.6,0.974359,0.759921,0.645014,0.997326,0.912481]
area_under_roc_curve
0.7955994261467261 [0.773052,0.9,0.9134,0.707866,0.673455,0.928571,0.941654]
area_under_roc_curve
0.8473583293191848 [0.813312,0.892063,0.97105,0.78268,0.713132,1,0.941654]
area_under_roc_curve
0.8314170174043818 [0.794805,0.666667,0.945492,0.757492,0.917837,0.994652,0.854135]
area_under_roc_curve
0.796709073893165 [0.759578,0.916667,0.945409,0.711893,0.653441,0.925898,0.90391]
area_under_roc_curve
0.7942971932963185 [0.691558,0.664007,0.983954,0.718122,0.701896,1,0.933083]
area_under_roc_curve
0.8135131936460657 [0.762825,0.906028,0.961538,0.72723,0.798455,0.854469,0.889023]
area_under_roc_curve
0.8048318929006234 [0.744805,0.666667,0.948718,0.732225,0.727747,0.997312,0.915338]
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
0.7586621511469326 [0.666667,0.5,0.948718,0.705036,0.592593,0.933333,0.871795]
f_measure
0.6988852120295419 [0.533333,0.333333,0.95,0.606061,0.714286,0.933333,0.864865]
f_measure
0.7187554076051093 [0.6,0.333333,0.973684,0.689189,0.4,0.933333,0.842105]
f_measure
0.7072316890496422 [0.634146,0.888889,0.88,0.625,0.444444,0.923077,0.894737]
f_measure
0.7643348810906156 [0.674157,0.666667,0.926829,0.71875,0.56,1,0.894737]
f_measure
0.740677709490556 [0.658824,0.5,0.933333,0.682171,0.756757,0.875,0.736842]
f_measure
0.6904288265624671 [0.593407,0.909091,0.9,0.620155,0.454545,0.857143,0.780488]
f_measure
0.691118499270864 [0.512821,0.444444,0.974359,0.633094,0.482759,1,0.829268]
f_measure
0.7211464142428352 [0.6,0.666667,0.96,0.640625,0.645161,0.769231,0.833333]
f_measure
0.7219718651213931 [0.592593,0.5,0.945946,0.653061,0.583333,0.941176,0.864865]
kappa
0.6870625192064739
kappa
0.6130407868491643
kappa
0.6403260223178368
kappa
0.6158415841584159
kappa
0.7023525400613706
kappa
0.6712533044126618
kappa
0.6086837606837606
kappa
0.6063690762775982
kappa
0.6381333514210134
kappa
0.6351097178683386
kb_relative_information_score
0.7150472834382314
kb_relative_information_score
0.6602281381648136
kb_relative_information_score
0.6655287904188615
kb_relative_information_score
0.6649590817406237
kb_relative_information_score
0.7386207188056748
kb_relative_information_score
0.7084497506656731
kb_relative_information_score
0.6562394595713925
kb_relative_information_score
0.6474508188112148
kb_relative_information_score
0.6829715062306321
kb_relative_information_score
0.6723920139368245
mean_absolute_error
0.06886446886446893
mean_absolute_error
0.08541973490427107
mean_absolute_error
0.07805596465390288
mean_absolute_error
0.08394698085419744
mean_absolute_error
0.06627393225331374
mean_absolute_error
0.07363770250368196
mean_absolute_error
0.0868924889543447
mean_absolute_error
0.0868924889543447
mean_absolute_error
0.08100147275405016
mean_absolute_error
0.07952871870397651
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
0.7626953763857068 [0.651163,0.666667,0.973684,0.680556,0.666667,1,0.85]
precision
0.7154946678838522 [0.489796,1,0.926829,0.615385,0.833333,0.875,0.888889]
precision
0.7338344788087056 [0.6,1,1,0.6375,0.555556,0.875,0.842105]
precision
0.7139295638346099 [0.619048,1,0.916667,0.592105,0.545455,1,0.894737]
precision
0.7752053238781327 [0.612245,0.571429,0.883721,0.766667,0.777778,1,0.894737]
precision
0.7549745039352622 [0.622222,1,0.972222,0.709677,0.666667,0.777778,0.736842]
precision
0.7102973950019987 [0.529412,1,0.878049,0.645161,0.833333,0.857143,0.727273]
precision
0.6922385506216218 [0.526316,0.666667,0.974359,0.611111,0.538462,1,0.772727]
precision
0.733148588149135 [0.54,0.555556,1,0.672131,0.666667,0.833333,0.882353]
precision
0.743718045427877 [0.585366,1,1,0.6,0.777778,0.888889,0.888889]
predictive_accuracy
0.7589743589743589
predictive_accuracy
0.7010309278350516
predictive_accuracy
0.7268041237113403
predictive_accuracy
0.7061855670103092
predictive_accuracy
0.7680412371134021
predictive_accuracy
0.7422680412371134
predictive_accuracy
0.6958762886597938
predictive_accuracy
0.6958762886597938
predictive_accuracy
0.7164948453608246
predictive_accuracy
0.7216494845360825
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
0.7589743589743589 [0.682927,0.4,0.925,0.731343,0.533333,0.875,0.894737]
recall
0.7010309278350515 [0.585366,0.2,0.974359,0.597015,0.625,1,0.842105]
recall
0.7268041237113402 [0.6,0.2,0.948718,0.75,0.3125,1,0.842105]
recall
0.7061855670103093 [0.65,0.8,0.846154,0.661765,0.375,0.857143,0.894737]
recall
0.7680412371134021 [0.75,0.8,0.974359,0.676471,0.4375,1,0.894737]
recall
0.7422680412371134 [0.7,0.333333,0.897436,0.656716,0.875,1,0.736842]
recall
0.6958762886597938 [0.675,0.833333,0.923077,0.597015,0.3125,0.857143,0.842105]
recall
0.6958762886597938 [0.5,0.333333,0.974359,0.656716,0.4375,1,0.894737]
recall
0.7164948453608248 [0.675,0.833333,0.923077,0.61194,0.625,0.714286,0.789474]
recall
0.7216494845360825 [0.6,0.333333,0.897436,0.716418,0.466667,1,0.842105]
relative_absolute_error
0.30970736179094194
relative_absolute_error
0.38432677164015144
relative_absolute_error
0.3515191959361001
relative_absolute_error
0.3780489465727869
relative_absolute_error
0.29845969466272637
relative_absolute_error
0.3309255723245655
relative_absolute_error
0.39049217534298725
relative_absolute_error
0.39049217534298725
relative_absolute_error
0.36401812955702206
relative_absolute_error
0.35729521894488014
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
0.2624204048172873
root_mean_squared_error
0.29226654769964877
root_mean_squared_error
0.27938497571255133
root_mean_squared_error
0.2897360537699743
root_mean_squared_error
0.2574372394454884
root_mean_squared_error
0.2713626770646287
root_mean_squared_error
0.29477531944575125
root_mean_squared_error
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root_mean_squared_error
0.28460757676852205
root_mean_squared_error
0.28200836637230553
root_relative_squared_error
0.7871556693148514
root_relative_squared_error
0.8770580278899901
root_relative_squared_error
0.8391764438930177
root_relative_squared_error
0.8702675247664012
root_relative_squared_error
0.7732529874683413
root_relative_squared_error
0.8133677174476045
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.8530672588750075
root_relative_squared_error
0.8450297573434302
total_cost
0
total_cost
0
total_cost
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total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
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usercpu_time_millis_training
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wall_clock_time_millis
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