10353663
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)
8209152
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
1000
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.03162277660168379
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
7160
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
21629028
description
https://api.openml.org/data/download/21629028/description.xml
-1
21629029
predictions
https://api.openml.org/data/download/21629029/predictions.arff
area_under_roc_curve
0.7215754717401673 [0.682408,0.628721,0.661109,0.653755,0.650966,0.80729]
average_cost
0
f_measure
0.5627806187731567 [0.469781,0.334096,0.415363,0.381426,0.382727,0.776929]
kappa
0.4192727959796286
kb_relative_information_score
0.4297819817217165
mean_absolute_error
0.1439468235806958
mean_prior_absolute_error
0.2507645736611627
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5599183778041453 [0.440514,0.376289,0.443769,0.390492,0.405745,0.758389]
predictive_accuracy
0.5681595292579275
prior_entropy
2.3000072984859514
recall
0.5681595292579275 [0.503214,0.300412,0.390374,0.372771,0.362179,0.796398]
relative_absolute_error
0.5740317361382918
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3794032466659923
root_relative_squared_error
1.0715337858263505
total_cost
0
area_under_roc_curve
0.7296752751247633 [0.704042,0.599512,0.664347,0.644575,0.674473,0.818074]
area_under_roc_curve
0.7265062477965233 [0.697467,0.60461,0.651285,0.688651,0.671741,0.806723]
area_under_roc_curve
0.7214100323462341 [0.653439,0.679215,0.671136,0.616979,0.630237,0.821008]
area_under_roc_curve
0.7080070181797852 [0.6821,0.623754,0.690354,0.60346,0.608006,0.790196]
area_under_roc_curve
0.7171603946938365 [0.661991,0.59847,0.639814,0.685132,0.669795,0.805602]
area_under_roc_curve
0.723252280882776 [0.687681,0.58649,0.686629,0.70739,0.634927,0.80084]
area_under_roc_curve
0.7059570040586746 [0.694484,0.67878,0.603687,0.674223,0.58654,0.782913]
area_under_roc_curve
0.727269385010803 [0.674759,0.614003,0.69486,0.653105,0.690469,0.807387]
area_under_roc_curve
0.7191590759079319 [0.66003,0.633159,0.660821,0.629389,0.65634,0.814156]
area_under_roc_curve
0.737402075581392 [0.707893,0.66885,0.647982,0.633949,0.686001,0.825968]
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
0.5724944037792833 [0.502128,0.289474,0.423358,0.353846,0.419355,0.789272]
f_measure
0.5692518610851122 [0.491525,0.289157,0.397163,0.446281,0.409449,0.775194]
f_measure
0.5598309858202288 [0.424242,0.412371,0.441176,0.324324,0.33871,0.792381]
f_measure
0.5412777954859195 [0.471616,0.309278,0.459459,0.293103,0.306306,0.75717]
f_measure
0.5563431312112422 [0.436975,0.272727,0.379562,0.452174,0.409836,0.774809]
f_measure
0.5634456697814224 [0.480349,0.247191,0.447368,0.461538,0.36036,0.768031]
f_measure
0.5415551429499841 [0.485356,0.447059,0.311111,0.409449,0.266667,0.750469]
f_measure
0.5762520099447022 [0.454545,0.313253,0.488889,0.389381,0.453782,0.778195]
f_measure
0.5575806790832535 [0.439462,0.337079,0.408163,0.336134,0.393162,0.785579]
f_measure
0.5854044958675751 [0.510823,0.413793,0.391304,0.33871,0.446281,0.798464]
kappa
0.43335163592907217
kappa
0.42917384374575623
kappa
0.4156825866289546
kappa
0.39219320858625156
kappa
0.4106948451608035
kappa
0.42219926251848156
kappa
0.3935860901766213
kappa
0.4356264849793324
kappa
0.41148905314877554
kappa
0.44849646502060564
kb_relative_information_score
0.4399587599084536
kb_relative_information_score
0.4393905363610392
kb_relative_information_score
0.4246562405078491
kb_relative_information_score
0.4036724625969817
kb_relative_information_score
0.42236055350623647
kb_relative_information_score
0.43277708624948924
kb_relative_information_score
0.41021882413191796
kb_relative_information_score
0.4480075904529772
kb_relative_information_score
0.4211264371592494
kb_relative_information_score
0.455763880911717
mean_absolute_error
0.14052287581699324
mean_absolute_error
0.14215686274509778
mean_absolute_error
0.1448801742919387
mean_absolute_error
0.15087145969498872
mean_absolute_error
0.14596949891067507
mean_absolute_error
0.14433551198257052
mean_absolute_error
0.14923747276688418
mean_absolute_error
0.13888888888888867
mean_absolute_error
0.14566284779050706
mean_absolute_error
0.1369339879978176
mean_prior_absolute_error
0.25067495791407446
mean_prior_absolute_error
0.25083558171073006
mean_prior_absolute_error
0.25088921191526126
mean_prior_absolute_error
0.25084785528987646
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
0.25059472840439195
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
0.571959156551878 [0.468254,0.392857,0.460317,0.338235,0.42623,0.774436]
precision
0.5676859190210567 [0.456693,0.342857,0.424242,0.457627,0.40625,0.766284]
precision
0.5575731732857818 [0.398374,0.416667,0.491803,0.367347,0.344262,0.77037]
precision
0.5371213265319051 [0.45,0.3125,0.465753,0.314815,0.346939,0.738806]
precision
0.5541664908286718 [0.403101,0.307692,0.419355,0.490566,0.416667,0.754647]
precision
0.5619584679758955 [0.458333,0.275,0.441558,0.441176,0.408163,0.763566]
precision
0.5378777193849349 [0.446154,0.527778,0.35,0.4,0.325581,0.719424]
precision
0.5755499925619212 [0.413534,0.382353,0.55,0.423077,0.473684,0.75]
precision
0.5534632466660986 [0.429825,0.365854,0.416667,0.344828,0.418182,0.763838]
precision
0.5837683788948905 [0.483607,0.461538,0.421875,0.333333,0.465517,0.784906]
predictive_accuracy
0.5784313725490197
predictive_accuracy
0.5735294117647058
predictive_accuracy
0.565359477124183
predictive_accuracy
0.5473856209150327
predictive_accuracy
0.5620915032679739
predictive_accuracy
0.5669934640522876
predictive_accuracy
0.5522875816993464
predictive_accuracy
0.5833333333333334
predictive_accuracy
0.5630114566284778
predictive_accuracy
0.5891980360065466
prior_entropy
2.2982053906988225
prior_entropy
2.3010980143383097
prior_entropy
2.3029972536480843
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
recall
0.5784313725490197 [0.541284,0.229167,0.391892,0.370968,0.412698,0.804688]
recall
0.5735294117647058 [0.53211,0.25,0.373333,0.435484,0.412698,0.784314]
recall
0.565359477124183 [0.453704,0.408163,0.4,0.290323,0.333333,0.815686]
recall
0.5473856209150327 [0.495413,0.306122,0.453333,0.274194,0.274194,0.776471]
recall
0.5620915032679739 [0.477064,0.244898,0.346667,0.419355,0.403226,0.796078]
recall
0.5669934640522876 [0.504587,0.22449,0.453333,0.483871,0.322581,0.772549]
recall
0.5522875816993464 [0.53211,0.387755,0.28,0.419355,0.225806,0.784314]
recall
0.5833333333333334 [0.504587,0.265306,0.44,0.360656,0.435484,0.808594]
recall
0.563011456628478 [0.449541,0.3125,0.4,0.327869,0.370968,0.808594]
recall
0.5891980360065466 [0.541284,0.375,0.364865,0.344262,0.428571,0.8125]
relative_absolute_error
0.5605780369380224
relative_absolute_error
0.5667332432487057
relative_absolute_error
0.577466735958629
relative_absolute_error
0.6014460818117965
relative_absolute_error
0.5819045123666481
relative_absolute_error
0.575390655884932
relative_absolute_error
0.5949322253300804
relative_absolute_error
0.5540583116197487
relative_absolute_error
0.5812942274363418
relative_absolute_error
0.546436027883409
root_mean_prior_squared_error
0.35394835494159665
root_mean_prior_squared_error
0.3541751851309153
root_mean_prior_squared_error
0.3542508884492025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3539492344090008
root_mean_prior_squared_error
0.3538193917423618
root_mean_prior_squared_error
0.35383500173976573
root_mean_squared_error
0.37486380969225774
root_mean_squared_error
0.3770369514319489
root_mean_squared_error
0.3806312839112659
root_mean_squared_error
0.38842175491981484
root_mean_squared_error
0.38205954890654814
root_mean_squared_error
0.37991513786972286
root_mean_squared_error
0.3863126619292774
root_mean_squared_error
0.37267799624996467
root_mean_squared_error
0.38165802466410564
root_mean_squared_error
0.3700459268764049
root_relative_squared_error
1.0590918264166316
root_relative_squared_error
1.0645493170070146
root_relative_squared_error
1.074468113764085
root_relative_squared_error
1.0966402227412742
root_relative_squared_error
1.0786776577429387
root_relative_squared_error
1.0726232919220582
root_relative_squared_error
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root_relative_squared_error
1.0529136950168458
root_relative_squared_error
1.0786803481421812
root_relative_squared_error
1.0458149280227562
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
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