10327867
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)
8183520
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
0.36462383208503985
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.19374891263436655
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.16256701488963904
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
18628
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
21577420
description
https://api.openml.org/data/download/21577420/description.xml
-1
21577421
predictions
https://api.openml.org/data/download/21577421/predictions.arff
area_under_roc_curve
0.6191216311555424 [0.587011,0.48754,0.815844,0.540105,0.54266,0.489032,0.71308]
average_cost
0
f_measure
0.41689080526003497 [0.356021,0,0.705882,0.4,0.15859,0,0.504249]
kappa
0.24893052348279698
kb_relative_information_score
0.29946479695640044
mean_absolute_error
0.164569073378963
mean_prior_absolute_error
0.2223438305942003
number_of_instances
1941 [402,55,391,673,158,72,190]
precision
0.4188278822725596 [0.307414,0,0.705882,0.398818,0.26087,0,0.546012]
predictive_accuracy
0.42400824317362185
prior_entropy
2.4106995883230287
recall
0.42400824317362185 [0.422886,0,0.705882,0.401189,0.113924,0,0.468421]
relative_absolute_error
0.7401557890729965
root_mean_prior_squared_error
0.3333637532267832
root_mean_squared_error
0.4056711394454417
root_relative_squared_error
1.21690236421555
total_cost
0
area_under_roc_curve
0.6259065501103975 [0.614824,0.481579,0.864113,0.516091,0.491667,0.481283,0.740431]
area_under_roc_curve
0.5970163976198445 [0.553085,0.489418,0.775352,0.501116,0.556882,0.494652,0.763759]
area_under_roc_curve
0.6169706243490436 [0.59237,0.494709,0.801075,0.548786,0.579705,0.486631,0.646466]
area_under_roc_curve
0.6189333772543802 [0.598864,0.484127,0.794541,0.551704,0.505969,0.489305,0.719699]
area_under_roc_curve
0.5957759914624081 [0.559578,0.484127,0.736973,0.512488,0.582514,0.494652,0.758045]
area_under_roc_curve
0.6150189765671528 [0.563636,0.478723,0.813896,0.55976,0.540028,0.491979,0.661353]
area_under_roc_curve
0.636241608768566 [0.591396,0.492021,0.874773,0.568457,0.554073,0.486631,0.649925]
area_under_roc_curve
0.6352881283922357 [0.57289,0.492021,0.849132,0.560172,0.548455,0.491979,0.763759]
area_under_roc_curve
0.6304454416632281 [0.584903,0.486702,0.871629,0.552298,0.545646,0.489305,0.675639]
area_under_roc_curve
0.6188408620233506 [0.639123,0.492021,0.775434,0.528264,0.516574,0.483871,0.751729]
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
0.4061178734565831 [0.395833,0,0.75,0.33871,0,0,0.540541]
f_measure
0.3921059000048401 [0.307692,0,0.641026,0.366197,0.2,0,0.564103]
f_measure
0.42770925901428325 [0.361702,0,0.693333,0.435374,0.25,0,0.413793]
f_measure
0.41017170156331595 [0.369565,0,0.658537,0.409091,0.076923,0,0.529412]
f_measure
0.4006638320740759 [0.293333,0,0.6,0.415094,0.26087,0,0.536585]
f_measure
0.4066370510807103 [0.326531,0,0.710526,0.415385,0.153846,0,0.411765]
f_measure
0.42557239405510405 [0.365385,0,0.780488,0.409836,0.190476,0,0.368421]
f_measure
0.43187437257599287 [0.34,0,0.75,0.409449,0.173913,0,0.564103]
f_measure
0.43395079917146406 [0.358491,0,0.794872,0.403101,0.166667,0,0.482759]
f_measure
0.4211840812849022 [0.424242,0,0.657534,0.391304,0.090909,0,0.606061]
kappa
0.26098873210841533
kappa
0.21209999299768925
kappa
0.2469209866958394
kappa
0.244694046306505
kappa
0.21068459225190164
kappa
0.23433317317592145
kappa
0.27631759069130735
kappa
0.27965344151825616
kappa
0.2694420452582484
kappa
0.2511475865906245
kb_relative_information_score
0.3055994901036822
kb_relative_information_score
0.28171752303279407
kb_relative_information_score
0.3021141452315074
kb_relative_information_score
0.29124544734999214
kb_relative_information_score
0.2823698398877755
kb_relative_information_score
0.27772389427941035
kb_relative_information_score
0.31336838086521335
kb_relative_information_score
0.3254151373775001
kb_relative_information_score
0.3123165567691569
kb_relative_information_score
0.3024814986199607
mean_absolute_error
0.1641025641025639
mean_absolute_error
0.17083946980854178
mean_absolute_error
0.16200294550809996
mean_absolute_error
0.16642120765832089
mean_absolute_error
0.16936671575846815
mean_absolute_error
0.16936671575846815
mean_absolute_error
0.16053019145802633
mean_absolute_error
0.1590574374079527
mean_absolute_error
0.16053019145802633
mean_absolute_error
0.1634756995581736
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
0.3943764227974754 [0.345455,0,0.6875,0.368421,0,0,0.555556]
precision
0.4028694158075602 [0.28,0,0.641026,0.346667,0.5,0,0.55]
precision
0.4417709435913795 [0.314815,0,0.722222,0.405063,0.375,0,0.6]
precision
0.4085195627316821 [0.326923,0,0.627907,0.421875,0.1,0,0.6]
precision
0.41240859240526684 [0.314286,0,0.677419,0.362637,0.428571,0,0.5]
precision
0.4137881164898584 [0.275862,0,0.72973,0.428571,0.2,0,0.466667]
precision
0.43687010963143785 [0.296875,0,0.744186,0.454545,0.4,0,0.368421]
precision
0.43260144641210774 [0.283333,0,0.731707,0.433333,0.285714,0,0.55]
precision
0.45315425623041183 [0.287879,0,0.794872,0.419355,0.25,0,0.7]
precision
0.4276281384227909 [0.355932,0,0.705882,0.380282,0.142857,0,0.714286]
predictive_accuracy
0.4256410256410256
predictive_accuracy
0.4020618556701031
predictive_accuracy
0.4329896907216495
predictive_accuracy
0.4175257731958763
predictive_accuracy
0.4072164948453608
predictive_accuracy
0.4072164948453608
predictive_accuracy
0.4381443298969072
predictive_accuracy
0.44329896907216493
predictive_accuracy
0.4381443298969072
predictive_accuracy
0.42783505154639173
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
0.4256410256410256 [0.463415,0,0.825,0.313433,0,0,0.526316]
recall
0.4020618556701031 [0.341463,0,0.641026,0.38806,0.125,0,0.578947]
recall
0.4329896907216495 [0.425,0,0.666667,0.470588,0.1875,0,0.315789]
recall
0.4175257731958763 [0.425,0,0.692308,0.397059,0.0625,0,0.473684]
recall
0.4072164948453608 [0.275,0,0.538462,0.485294,0.1875,0,0.578947]
recall
0.4072164948453608 [0.4,0,0.692308,0.402985,0.125,0,0.368421]
recall
0.4381443298969072 [0.475,0,0.820513,0.373134,0.125,0,0.368421]
recall
0.44329896907216493 [0.425,0,0.769231,0.38806,0.125,0,0.578947]
recall
0.4381443298969072 [0.475,0,0.794872,0.38806,0.125,0,0.368421]
recall
0.42783505154639173 [0.525,0,0.615385,0.402985,0.066667,0,0.526316]
relative_absolute_error
0.7380260536294772
relative_absolute_error
0.7686535432803012
relative_absolute_error
0.7295681425088855
relative_absolute_error
0.7494654554864006
relative_absolute_error
0.762730330804744
relative_absolute_error
0.7611288163464991
relative_absolute_error
0.7214177476675513
relative_absolute_error
0.71479923622106
relative_absolute_error
0.7214177476675513
relative_absolute_error
0.7344401722755853
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
0.4050957468334664
root_mean_squared_error
0.41332731558480595
root_mean_squared_error
0.40249589502018523
root_mean_squared_error
0.40794755503412555
root_mean_squared_error
0.4115418760690923
root_mean_squared_error
0.4115418760690923
root_mean_squared_error
0.40066219120104946
root_mean_squared_error
0.39882005642639473
root_mean_squared_error
0.40066219120104946
root_mean_squared_error
0.40432128259364924
root_relative_squared_error
1.2151243115310164
root_relative_squared_error
1.2403473580302231
root_relative_squared_error
1.2089593329173511
root_relative_squared_error
1.225334245892339
root_relative_squared_error
1.2361303509321342
root_relative_squared_error
1.2335332183235388
root_relative_squared_error
1.2009230431019784
root_relative_squared_error
1.1954015285993227
root_relative_squared_error
1.2009230431019784
root_relative_squared_error
1.2115368054997135
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
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total_cost
0
usercpu_time_millis
334.74366099835606
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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wall_clock_time_millis
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wall_clock_time_millis_training
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