10327818
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)
8183471
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
301.88246415708056
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.6014381418687775
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.00024144262223698258
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
46905
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
21577322
description
https://api.openml.org/data/download/21577322/description.xml
-1
21577323
predictions
https://api.openml.org/data/download/21577323/predictions.arff
area_under_roc_curve
0.8111045442980648 [0.757004,0.742803,0.957743,0.735092,0.739624,0.963405,0.914547]
average_cost
0
f_measure
0.7209809463623039 [0.604486,0.586957,0.937984,0.654466,0.576642,0.917808,0.840731]
kappa
0.6391583347307711
kb_relative_information_score
0.6785080866997094
mean_absolute_error
0.0796349451681757
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7250746603839785 [0.575281,0.72973,0.947781,0.645022,0.681034,0.905405,0.834197]
predictive_accuracy
0.7212776919113858
prior_entropy
2.4106995883230287
recall
0.7212776919113859 [0.636816,0.490909,0.928389,0.66419,0.5,0.930556,0.847368]
relative_absolute_error
0.3581612539253109
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.28219664273016376
root_relative_squared_error
0.8465126757142937
total_cost
0
area_under_roc_curve
0.8288316710642687 [0.780567,0.697368,0.956048,0.764459,0.755556,0.9375,0.938846]
area_under_roc_curve
0.7961919773557193 [0.710984,0.6,0.977502,0.700082,0.806882,0.997326,0.915338]
area_under_roc_curve
0.8093321373493217 [0.748052,0.6,0.974359,0.755952,0.647823,0.997326,0.912481]
area_under_roc_curve
0.7844161649634649 [0.757305,0.8,0.9134,0.692577,0.673455,0.928571,0.941654]
area_under_roc_curve
0.850605082565938 [0.816558,0.892063,0.97105,0.790033,0.713132,1,0.941654]
area_under_roc_curve
0.8314170174043818 [0.794805,0.666667,0.945492,0.757492,0.917837,0.994652,0.854135]
area_under_roc_curve
0.7934623206464119 [0.756331,0.916667,0.945409,0.704431,0.653441,0.925898,0.90391]
area_under_roc_curve
0.7942971932963185 [0.691558,0.664007,0.983954,0.718122,0.701896,1,0.933083]
area_under_roc_curve
0.8134101177974714 [0.756818,0.903369,0.961538,0.730756,0.798455,0.854469,0.889023]
area_under_roc_curve
0.8087689007746394 [0.757305,0.666667,0.948718,0.736162,0.727747,0.997312,0.915338]
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
0.7478773981547826 [0.650602,0.5,0.936709,0.690647,0.592593,0.933333,0.871795]
f_measure
0.6988852120295419 [0.533333,0.333333,0.95,0.606061,0.714286,0.933333,0.864865]
f_measure
0.7185086930291897 [0.6,0.333333,0.973684,0.684564,0.416667,0.933333,0.842105]
f_measure
0.692277623671804 [0.609756,0.75,0.88,0.606897,0.444444,0.923077,0.894737]
f_measure
0.7693958230225487 [0.681818,0.666667,0.926829,0.728682,0.56,1,0.894737]
f_measure
0.740677709490556 [0.658824,0.5,0.933333,0.682171,0.756757,0.875,0.736842]
f_measure
0.685375911801654 [0.586957,0.909091,0.9,0.609375,0.454545,0.857143,0.780488]
f_measure
0.691118499270864 [0.512821,0.444444,0.974359,0.633094,0.482759,1,0.829268]
f_measure
0.7212932115073671 [0.597701,0.625,0.96,0.646154,0.645161,0.769231,0.833333]
f_measure
0.7270555387217381 [0.609756,0.5,0.945946,0.657534,0.583333,0.941176,0.864865]
kappa
0.6737571701720841
kappa
0.6130407868491643
kappa
0.6396705799894865
kappa
0.5947357426363067
kappa
0.7086888267012491
kappa
0.6712533044126618
kappa
0.6024182805615329
kappa
0.6063690762775982
kappa
0.6378877350166293
kappa
0.6422034311166788
kb_relative_information_score
0.7049315258467773
kb_relative_information_score
0.6602281381648136
kb_relative_information_score
0.6655287904188615
kb_relative_information_score
0.6436627234589715
kb_relative_information_score
0.743225916151531
kb_relative_information_score
0.7084497506656731
kb_relative_information_score
0.6516694976841912
kb_relative_information_score
0.6474508188112148
kb_relative_information_score
0.6819829746365272
kb_relative_information_score
0.6779372319771
mean_absolute_error
0.07179487179487186
mean_absolute_error
0.08541973490427107
mean_absolute_error
0.07805596465390288
mean_absolute_error
0.08836524300441834
mean_absolute_error
0.0648011782032401
mean_absolute_error
0.07363770250368196
mean_absolute_error
0.08836524300441834
mean_absolute_error
0.0868924889543447
mean_absolute_error
0.08100147275405016
mean_absolute_error
0.07805596465390288
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
0.7510556964403118 [0.642857,0.666667,0.948718,0.666667,0.666667,1,0.85]
precision
0.7154946678838522 [0.489796,1,0.926829,0.615385,0.833333,0.875,0.888889]
precision
0.73680316914853 [0.6,1,1,0.62963,0.625,0.875,0.842105]
precision
0.7017728834739143 [0.595238,1,0.916667,0.571429,0.545455,1,0.894737]
precision
0.7791760113588035 [0.625,0.571429,0.883721,0.770492,0.777778,1,0.894737]
precision
0.7549745039352622 [0.622222,1,0.972222,0.709677,0.666667,0.777778,0.736842]
precision
0.7061892470801072 [0.519231,1,0.878049,0.639344,0.833333,0.857143,0.727273]
precision
0.6922385506216218 [0.526316,0.666667,0.974359,0.611111,0.538462,1,0.772727]
precision
0.7322630521829261 [0.553191,0.5,1,0.666667,0.666667,0.833333,0.882353]
precision
0.7483765527612585 [0.595238,1,1,0.607595,0.777778,0.888889,0.888889]
predictive_accuracy
0.7487179487179487
predictive_accuracy
0.7010309278350516
predictive_accuracy
0.7268041237113403
predictive_accuracy
0.6907216494845361
predictive_accuracy
0.7731958762886597
predictive_accuracy
0.7422680412371134
predictive_accuracy
0.6907216494845361
predictive_accuracy
0.6958762886597938
predictive_accuracy
0.7164948453608246
predictive_accuracy
0.7268041237113403
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
0.7487179487179487 [0.658537,0.4,0.925,0.716418,0.533333,0.875,0.894737]
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
0.6907216494845361 [0.625,0.6,0.846154,0.647059,0.375,0.857143,0.894737]
recall
0.7731958762886598 [0.75,0.8,0.974359,0.691176,0.4375,1,0.894737]
recall
0.7422680412371134 [0.7,0.333333,0.897436,0.656716,0.875,1,0.736842]
recall
0.6907216494845361 [0.675,0.833333,0.923077,0.58209,0.3125,0.857143,0.842105]
recall
0.6958762886597938 [0.5,0.333333,0.974359,0.656716,0.4375,1,0.894737]
recall
0.7164948453608248 [0.65,0.833333,0.923077,0.626866,0.625,0.714286,0.789474]
recall
0.7268041237113402 [0.625,0.333333,0.897436,0.716418,0.466667,1,0.842105]
relative_absolute_error
0.3228863984628969
relative_absolute_error
0.38432677164015144
relative_absolute_error
0.3515191959361001
relative_absolute_error
0.39794625955030194
relative_absolute_error
0.2918272570035547
relative_absolute_error
0.3309255723245655
relative_absolute_error
0.39711068678947853
relative_absolute_error
0.39049217534298725
relative_absolute_error
0.36401812955702206
relative_absolute_error
0.35067864081627126
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
0.26794565082283356
root_mean_squared_error
0.29226654769964877
root_mean_squared_error
0.27938497571255133
root_mean_squared_error
0.2972629189865738
root_mean_squared_error
0.25456075542636203
root_mean_squared_error
0.2713626770646287
root_mean_squared_error
0.2972629189865738
root_mean_squared_error
0.29477531944575125
root_mean_squared_error
0.28460757676852205
root_mean_squared_error
0.27938497571255133
root_relative_squared_error
0.803729185084912
root_relative_squared_error
0.8770580278899901
root_relative_squared_error
0.8391764438930177
root_relative_squared_error
0.8928756409330583
root_relative_squared_error
0.7646130181073219
root_relative_squared_error
0.8133677174476045
root_relative_squared_error
0.8909996927850825
root_relative_squared_error
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root_relative_squared_error
0.8530672588750075
root_relative_squared_error
0.8371688445586568
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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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usercpu_time_millis
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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