10327856
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)
8183509
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
48452.94589563932
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.04048723473360227
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
6.678631422977849e-05
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
60079
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
21577398
description
https://api.openml.org/data/download/21577398/description.xml
-1
21577399
predictions
https://api.openml.org/data/download/21577399/predictions.arff
area_under_roc_curve
0.8260327302230357 [0.769183,0.814735,0.962869,0.752591,0.777118,0.956996,0.919177]
average_cost
0
f_measure
0.7432227290033747 [0.628641,0.679612,0.94696,0.676946,0.613333,0.923077,0.859416]
kappa
0.6675299582742389
kb_relative_information_score
0.7072192247742976
mean_absolute_error
0.07359976448075406
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.7447921982621678 [0.613744,0.729167,0.958115,0.669086,0.647887,0.929577,0.86631]
predictive_accuracy
0.7424008243173621
prior_entropy
2.4106995883230287
recall
0.7424008243173622 [0.644279,0.636364,0.936061,0.684993,0.582278,0.916667,0.852632]
relative_absolute_error
0.33101779475537135
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.2712927652569343
root_relative_squared_error
0.8138040282753154
total_cost
0
area_under_roc_curve
0.8403198474558832 [0.808204,0.789474,0.959274,0.757696,0.816667,0.9375,0.941687]
area_under_roc_curve
0.8071533274190458 [0.71186,0.8,0.971133,0.72247,0.826896,0.928571,0.915338]
area_under_roc_curve
0.8435373305362434 [0.782792,0.7,0.971133,0.805789,0.735955,1,0.915338]
area_under_roc_curve
0.7989101599540164 [0.742045,1,0.919851,0.718604,0.701896,0.928571,0.938797]
area_under_roc_curve
0.8632863256710345 [0.867045,0.894709,0.964682,0.80077,0.707514,0.997326,0.944511]
area_under_roc_curve
0.83659239105982 [0.757792,0.74734,0.958313,0.772006,0.946278,0.997326,0.856992]
area_under_roc_curve
0.809196563543469 [0.756331,0.916667,0.961456,0.723293,0.715941,0.925898,0.912481]
area_under_roc_curve
0.8143026989771525 [0.738799,0.74734,0.971133,0.726407,0.761587,0.997326,0.959398]
area_under_roc_curve
0.8313469252024893 [0.775812,0.903369,0.980728,0.749618,0.838132,0.857143,0.89188]
area_under_roc_curve
0.8154677361704237 [0.751299,0.666667,0.971133,0.747973,0.719367,0.997312,0.915338]
average_cost
0
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0
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0
average_cost
0
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0
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0
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0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.7619699792900785 [0.690476,0.5,0.948718,0.681818,0.645161,0.933333,0.894737]
f_measure
0.7199014114265783 [0.541176,0.75,0.961039,0.637037,0.666667,0.923077,0.864865]
f_measure
0.7710055193974791 [0.658228,0.571429,0.961039,0.744828,0.551724,1,0.864865]
f_measure
0.7133461341374281 [0.597403,1,0.90411,0.639456,0.482759,0.923077,0.871795]
f_measure
0.7901380121965379 [0.758621,0.727273,0.936709,0.742424,0.518519,0.933333,0.918919]
f_measure
0.7510403988428948 [0.623377,0.6,0.947368,0.701493,0.769231,0.933333,0.756757]
f_measure
0.7161354997127096 [0.586957,0.909091,0.925,0.635659,0.583333,0.857143,0.842105]
f_measure
0.7190170654088179 [0.589744,0.6,0.961039,0.641791,0.5625,0.933333,0.857143]
f_measure
0.7507725703755475 [0.627907,0.625,0.962025,0.671756,0.758621,0.833333,0.857143]
f_measure
0.7293967005299534 [0.607595,0.5,0.961039,0.671329,0.518519,0.941176,0.864865]
kappa
0.6913621821855531
kappa
0.6336229097277066
kappa
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kappa
0.6228170676665626
kappa
0.734610123119015
kappa
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kappa
0.6350265093210193
kappa
0.643333787280403
kappa
0.6760164956886269
kappa
0.6508859357696566
kb_relative_information_score
0.7292485932389166
kb_relative_information_score
0.6826541414735656
kb_relative_information_score
0.7257244899633828
kb_relative_information_score
0.6764844329915661
kb_relative_information_score
0.7635752318339645
kb_relative_information_score
0.7245201731060071
kb_relative_information_score
0.6823667380474062
kb_relative_information_score
0.688334379796702
kb_relative_information_score
0.7158927291615282
kb_relative_information_score
0.6836087326962402
mean_absolute_error
0.06886446886446893
mean_absolute_error
0.08100147275405016
mean_absolute_error
0.0648011782032401
mean_absolute_error
0.0824742268041238
mean_absolute_error
0.058910162002945535
mean_absolute_error
0.07069219440353466
mean_absolute_error
0.08100147275405016
mean_absolute_error
0.07952871870397651
mean_absolute_error
0.07216494845360831
mean_absolute_error
0.07658321060382924
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
0.7666718140472966 [0.674419,0.428571,0.973684,0.692308,0.625,1,0.894737]
precision
0.7268813377140594 [0.522727,1,0.973684,0.632353,0.647059,1,0.888889]
precision
0.7786788933017907 [0.666667,1,0.973684,0.701299,0.615385,1,0.888889]
precision
0.7213344683466583 [0.621622,1,0.970588,0.594937,0.538462,1,0.85]
precision
0.7928206306318282 [0.702128,0.666667,0.925,0.765625,0.636364,0.875,0.944444]
precision
0.7563373828781718 [0.648649,0.75,0.972973,0.701493,0.652174,0.875,0.777778]
precision
0.7333546615121315 [0.519231,1,0.902439,0.66129,0.875,0.857143,0.842105]
precision
0.719993689400552 [0.605263,0.75,0.973684,0.641791,0.5625,0.875,0.782609]
precision
0.7625861979795193 [0.586957,0.5,0.95,0.6875,0.846154,1,0.9375]
precision
0.7404889603071914 [0.615385,1,0.973684,0.631579,0.583333,0.888889,0.888889]
predictive_accuracy
0.7589743589743589
predictive_accuracy
0.7164948453608246
predictive_accuracy
0.7731958762886597
predictive_accuracy
0.711340206185567
predictive_accuracy
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predictive_accuracy
0.7525773195876289
predictive_accuracy
0.7164948453608246
predictive_accuracy
0.7216494845360825
predictive_accuracy
0.7474226804123711
predictive_accuracy
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prior_entropy
2.4086971702017688
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
2.4180778493888857
prior_entropy
2.4180778493888857
prior_entropy
2.4180778493888857
prior_entropy
2.4238668101950935
recall
0.7589743589743589 [0.707317,0.6,0.925,0.671642,0.666667,0.875,0.894737]
recall
0.7164948453608248 [0.560976,0.6,0.948718,0.641791,0.6875,0.857143,0.842105]
recall
0.7731958762886598 [0.65,0.4,0.948718,0.794118,0.5,1,0.842105]
recall
0.711340206185567 [0.575,1,0.846154,0.691176,0.4375,0.857143,0.894737]
recall
0.7938144329896907 [0.825,0.8,0.948718,0.720588,0.4375,1,0.894737]
recall
0.7525773195876289 [0.6,0.5,0.923077,0.701493,0.9375,1,0.736842]
recall
0.7164948453608248 [0.675,0.833333,0.948718,0.61194,0.4375,0.857143,0.842105]
recall
0.7216494845360825 [0.575,0.5,0.948718,0.641791,0.5625,1,0.947368]
recall
0.7474226804123711 [0.675,0.833333,0.974359,0.656716,0.6875,0.714286,0.789474]
recall
0.7319587628865979 [0.6,0.333333,0.948718,0.716418,0.466667,1,0.842105]
relative_absolute_error
0.30970736179094194
relative_absolute_error
0.36444780069324706
relative_absolute_error
0.2918272570035547
relative_absolute_error
0.3714165089136152
relative_absolute_error
0.26529750636686783
relative_absolute_error
0.31768854943158276
relative_absolute_error
0.36401812955702206
relative_absolute_error
0.3573996181105308
relative_absolute_error
0.32430706087807415
relative_absolute_error
0.3440620626876623
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.3332351320046385
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.33292757172312704
root_mean_prior_squared_error
0.3336285314054271
root_mean_prior_squared_error
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0.3336285314054271
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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0.7290299080154939
root_relative_squared_error
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total_cost
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