10349848
8323
Heinrich Peters
9985
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8205343
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
8829.986986237445
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
2.305877221785047
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
8100
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.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
21621397
description
https://api.openml.org/data/download/21621397/description.xml
-1
21621398
predictions
https://api.openml.org/data/download/21621398/predictions.arff
area_under_roc_curve
0.6858888368784544 [0.654662,0.614537,0.635501,0.654097,0.6526,0.743352]
average_cost
0
f_measure
0.5342354044162632 [0.440488,0.322251,0.385936,0.397125,0.405634,0.722523]
kappa
0.3766284658004217
kb_relative_information_score
0.408202996605214
mean_absolute_error
0.14639860520867906
mean_prior_absolute_error
0.2507645736611627
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5371667623983027 [0.493729,0.425676,0.496842,0.445565,0.489796,0.622417]
predictive_accuracy
0.5608041843739785
prior_entropy
2.3000072984859514
recall
0.5608041843739784 [0.397612,0.259259,0.315508,0.358185,0.346154,0.861002]
relative_absolute_error
0.5838089610157425
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3826207067170817
root_relative_squared_error
1.080620732708289
total_cost
0
area_under_roc_curve
0.6859139421878104 [0.646552,0.589982,0.635713,0.625953,0.628936,0.763716]
area_under_roc_curve
0.7019148458779679 [0.663678,0.640293,0.635642,0.716598,0.693339,0.747899]
area_under_roc_curve
0.6746108286500113 [0.611772,0.609562,0.636574,0.629707,0.643898,0.743417]
area_under_roc_curve
0.670285887668897 [0.661079,0.602911,0.604618,0.666276,0.618006,0.720168]
area_under_roc_curve
0.6982738172285667 [0.644336,0.629536,0.645251,0.68695,0.635836,0.768067]
area_under_roc_curve
0.6927852611119811 [0.672242,0.598923,0.630838,0.646628,0.722845,0.741737]
area_under_roc_curve
0.6665743497946374 [0.662912,0.621996,0.615642,0.677067,0.604604,0.704202]
area_under_roc_curve
0.703704523490503 [0.688985,0.609127,0.658436,0.648538,0.666393,0.763518]
area_under_roc_curve
0.6699795942971007 [0.633475,0.600374,0.650945,0.634858,0.624214,0.723603]
area_under_roc_curve
0.6949922388869308 [0.661208,0.642929,0.641678,0.607526,0.687189,0.757312]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.5214768147854598 [0.423645,0.27027,0.363636,0.342342,0.358491,0.739353]
f_measure
0.5637377944646041 [0.456853,0.37037,0.393162,0.527273,0.477876,0.726073]
f_measure
0.5155296122506896 [0.361702,0.295455,0.396552,0.371134,0.385321,0.72524]
f_measure
0.5090572728419654 [0.453608,0.289157,0.313433,0.413793,0.34,0.696817]
f_measure
0.548078694795765 [0.42268,0.358974,0.406504,0.460177,0.363636,0.745875]
f_measure
0.5495113611330255 [0.474227,0.293333,0.385965,0.388889,0.530973,0.722581]
f_measure
0.5135282929250287 [0.449761,0.351351,0.350877,0.438596,0.315789,0.686084]
f_measure
0.5639890233632266 [0.505155,0.315789,0.444444,0.388889,0.433962,0.744783]
f_measure
0.5107259039416168 [0.404255,0.293333,0.416,0.341463,0.349515,0.703947]
f_measure
0.5454151232453237 [0.44878,0.384615,0.4,0.300885,0.472727,0.734899]
kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.34310559666904733
kappa
0.3909379247847756
kb_relative_information_score
0.38781487029170836
kb_relative_information_score
0.44673602247857436
kb_relative_information_score
0.387922751069984
kb_relative_information_score
0.37792853061267595
kb_relative_information_score
0.4248491445367523
kb_relative_information_score
0.42909193536005075
kb_relative_information_score
0.38758194746875646
kb_relative_information_score
0.44146828974915076
kb_relative_information_score
0.37980937903099327
kb_relative_information_score
0.41879200690493495
mean_absolute_error
0.15141612200435692
mean_absolute_error
0.1377995642701523
mean_absolute_error
0.15032679738562055
mean_absolute_error
0.15577342047930237
mean_absolute_error
0.1416122004357296
mean_absolute_error
0.14052287581699324
mean_absolute_error
0.1525054466230933
mean_absolute_error
0.1356209150326796
mean_absolute_error
0.1543917075831965
mean_absolute_error
0.1440261865793778
mean_prior_absolute_error
0.25067495791407446
mean_prior_absolute_error
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mean_prior_absolute_error
0.25088921191526126
mean_prior_absolute_error
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mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25067558048692967
mean_prior_absolute_error
0.25058368192114683
mean_prior_absolute_error
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number_of_instances
612 [109,48,74,62,63,256]
number_of_instances
612 [109,48,75,62,63,255]
number_of_instances
612 [108,49,75,62,63,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,61,62,256]
number_of_instances
611 [109,48,75,61,62,256]
number_of_instances
611 [109,48,74,61,63,256]
precision
0.5162028429722851 [0.457447,0.384615,0.376812,0.387755,0.44186,0.655589]
precision
0.5717902613000652 [0.511364,0.454545,0.547619,0.604167,0.54,0.626781]
precision
0.5244727886864056 [0.425,0.333333,0.560976,0.514286,0.456522,0.61186]
precision
0.5078311752812502 [0.517647,0.352941,0.355932,0.444444,0.447368,0.608187]
precision
0.5505283556546582 [0.482353,0.482759,0.520833,0.509804,0.416667,0.643875]
precision
0.5609391888543983 [0.541176,0.423077,0.564103,0.456522,0.588235,0.613699]
precision
0.5262854065126792 [0.47,0.52,0.512821,0.480769,0.454545,0.584022]
precision
0.5760410393011816 [0.576471,0.444444,0.619048,0.446809,0.522727,0.632153]
precision
0.5147350269336451 [0.481013,0.407407,0.52,0.33871,0.439024,0.607955]
precision
0.5475046669197944 [0.479167,0.5,0.521739,0.326923,0.553191,0.644118]
predictive_accuracy
0.545751633986928
predictive_accuracy
0.5866013071895425
predictive_accuracy
0.5490196078431372
predictive_accuracy
0.5326797385620915
predictive_accuracy
0.5751633986928105
predictive_accuracy
0.5784313725490197
predictive_accuracy
0.5424836601307189
predictive_accuracy
0.5931372549019608
predictive_accuracy
0.5368248772504092
predictive_accuracy
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prior_entropy
2.2982053906988225
prior_entropy
2.3010980143383097
prior_entropy
2.3029972536480843
prior_entropy
2.301686142471426
prior_entropy
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prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
recall
0.545751633986928 [0.394495,0.208333,0.351351,0.306452,0.301587,0.847656]
recall
0.5866013071895425 [0.412844,0.3125,0.306667,0.467742,0.428571,0.862745]
recall
0.5490196078431373 [0.314815,0.265306,0.306667,0.290323,0.333333,0.890196]
recall
0.5326797385620915 [0.40367,0.244898,0.28,0.387097,0.274194,0.815686]
recall
0.5751633986928104 [0.376147,0.285714,0.333333,0.419355,0.322581,0.886275]
recall
0.5784313725490197 [0.422018,0.22449,0.293333,0.33871,0.483871,0.878431]
recall
0.5424836601307189 [0.431193,0.265306,0.266667,0.403226,0.241935,0.831373]
recall
0.5931372549019608 [0.449541,0.244898,0.346667,0.344262,0.370968,0.90625]
recall
0.5368248772504092 [0.348624,0.229167,0.346667,0.344262,0.290323,0.835938]
recall
0.5679214402618658 [0.422018,0.3125,0.324324,0.278689,0.412698,0.855469]
relative_absolute_error
0.6040336987161631
relative_absolute_error
0.5493621093560254
relative_absolute_error
0.5991760117465472
relative_absolute_error
0.6209876512569449
relative_absolute_error
0.5645342284154051
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.6161283384437626
relative_absolute_error
0.5747374954630273
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.3541751851309153
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_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
0.3946814164352084
root_mean_squared_error
0.3763139652414319
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
0.3795078214996073
root_relative_squared_error
1.0993757709174714
root_relative_squared_error
1.0481074128037269
root_relative_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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root_relative_squared_error
1.1105301498275337
root_relative_squared_error
1.0725559077920819
total_cost
0
total_cost
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total_cost
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total_cost
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