10349809
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)
8205304
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
33.252648089739836
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
2.1212339071044592
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
21640
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
21621319
description
https://api.openml.org/data/download/21621319/description.xml
-1
21621320
predictions
https://api.openml.org/data/download/21621320/predictions.arff
area_under_roc_curve
0.6935906101643983 [0.664503,0.613247,0.631643,0.666699,0.648685,0.756893]
average_cost
0
f_measure
0.5446976795913653 [0.457431,0.332871,0.380317,0.418358,0.398489,0.736602]
kappa
0.3925507070190031
kb_relative_information_score
0.4206029605749363
mean_absolute_error
0.14203988231448658
mean_prior_absolute_error
0.2507645736611627
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5516410221204454 [0.506696,0.510638,0.505543,0.459302,0.485057,0.630683]
predictive_accuracy
0.5738803530565544
prior_entropy
2.3000072984859514
recall
0.5738803530565544 [0.416896,0.246914,0.304813,0.384117,0.338141,0.885278]
relative_absolute_error
0.5664272279002744
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.37688178824995855
root_relative_squared_error
1.0644125292053839
total_cost
0
area_under_roc_curve
0.6857954776872103 [0.628586,0.569149,0.624058,0.642991,0.617356,0.77708]
area_under_roc_curve
0.7081505193124289 [0.693189,0.617908,0.648976,0.713871,0.686313,0.752941]
area_under_roc_curve
0.6856320401949202 [0.638889,0.619332,0.61378,0.64129,0.661593,0.756022]
area_under_roc_curve
0.6790958223203092 [0.649534,0.606463,0.6254,0.658211,0.61437,0.742297]
area_under_roc_curve
0.7014245148489325 [0.662301,0.633976,0.63378,0.681613,0.642991,0.770028]
area_under_roc_curve
0.6941895174701804 [0.683021,0.606916,0.615642,0.677859,0.670938,0.748459]
area_under_roc_curve
0.6822496796029779 [0.668877,0.62466,0.630838,0.701261,0.626979,0.722969]
area_under_roc_curve
0.7112622337859028 [0.703741,0.611792,0.655493,0.674972,0.659238,0.771089]
area_under_roc_curve
0.6764967503123578 [0.635677,0.615231,0.626144,0.644858,0.608085,0.744223]
area_under_roc_curve
0.7117148008600911 [0.680946,0.626536,0.642609,0.629374,0.697862,0.783792]
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
0.5169534883939148 [0.393782,0.222222,0.345324,0.375,0.330275,0.754591]
f_measure
0.5747882408139928 [0.507463,0.352941,0.420168,0.513274,0.468468,0.732026]
f_measure
0.5318960294117075 [0.412698,0.337662,0.344828,0.384615,0.422018,0.737679]
f_measure
0.5182020191698951 [0.43,0.303797,0.359375,0.4,0.326923,0.719064]
f_measure
0.5545069008916526 [0.45098,0.383562,0.386555,0.458716,0.375,0.747941]
f_measure
0.5496917557020695 [0.49,0.333333,0.350877,0.422764,0.455446,0.729032]
f_measure
0.5375350136267426 [0.463054,0.366197,0.385965,0.478632,0.36,0.704362]
f_measure
0.574677109721458 [0.530612,0.328767,0.446429,0.420168,0.423077,0.751613]
f_measure
0.5184470092271447 [0.406091,0.338028,0.369748,0.375,0.316832,0.726688]
f_measure
0.5704071983360209 [0.485149,0.366197,0.403361,0.348624,0.5,0.763458]
kappa
0.3617799864468038
kappa
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kappa
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kappa
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kappa
0.4064082988872429
kappa
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kappa
0.3779656030170915
kappa
0.43191333312960295
kappa
0.35634755863129575
kappa
0.42776046942793255
kb_relative_information_score
0.38354164723648615
kb_relative_information_score
0.4584335299085869
kb_relative_information_score
0.40794950704092914
kb_relative_information_score
0.3882114507724447
kb_relative_information_score
0.4315584735762015
kb_relative_information_score
0.4284785968429883
kb_relative_information_score
0.4155596421853187
kb_relative_information_score
0.4539385091383966
kb_relative_information_score
0.3898061837004269
kb_relative_information_score
0.4485446183248497
mean_absolute_error
0.15087145969498872
mean_absolute_error
0.13344226579520685
mean_absolute_error
0.14433551198257052
mean_absolute_error
0.1519607843137251
mean_absolute_error
0.13943355119825687
mean_absolute_error
0.13997821350762504
mean_absolute_error
0.1448801742919387
mean_absolute_error
0.13235294117647048
mean_absolute_error
0.1494817239498087
mean_absolute_error
0.13366066557555906
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
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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
0.5098058161524418 [0.452381,0.333333,0.369231,0.42,0.391304,0.658892]
precision
0.590224593738397 [0.554348,0.6,0.568182,0.568627,0.541667,0.627451]
precision
0.5400996626785722 [0.481481,0.464286,0.487805,0.47619,0.5,0.620321]
precision
0.5155117858418047 [0.472527,0.4,0.433962,0.433962,0.404762,0.626822]
precision
0.5621430919735749 [0.484211,0.583333,0.522727,0.531915,0.42,0.644886]
precision
0.5714713587222071 [0.538462,0.647059,0.512821,0.42623,0.589744,0.619178]
precision
0.5545981624154999 [0.5,0.590909,0.564103,0.509091,0.473684,0.598901]
precision
0.5930760241105069 [0.597701,0.5,0.675676,0.431034,0.52381,0.64011]
precision
0.5249083142934297 [0.454545,0.521739,0.5,0.411765,0.410256,0.617486]
precision
0.5790038652000352 [0.526882,0.565217,0.533333,0.395833,0.6,0.655462]
predictive_accuracy
0.5473856209150327
predictive_accuracy
0.5996732026143791
predictive_accuracy
0.5669934640522876
predictive_accuracy
0.5441176470588236
predictive_accuracy
0.5816993464052288
predictive_accuracy
0.5800653594771242
predictive_accuracy
0.565359477124183
predictive_accuracy
0.6029411764705883
predictive_accuracy
0.5515548281505729
predictive_accuracy
0.5990180032733224
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
0.5473856209150327 [0.348624,0.166667,0.324324,0.33871,0.285714,0.882812]
recall
0.5996732026143791 [0.46789,0.25,0.333333,0.467742,0.412698,0.878431]
recall
0.5669934640522876 [0.361111,0.265306,0.266667,0.322581,0.365079,0.909804]
recall
0.5441176470588235 [0.394495,0.244898,0.306667,0.370968,0.274194,0.843137]
recall
0.5816993464052288 [0.422018,0.285714,0.306667,0.403226,0.33871,0.890196]
recall
0.5800653594771242 [0.449541,0.22449,0.266667,0.419355,0.370968,0.886275]
recall
0.565359477124183 [0.431193,0.265306,0.293333,0.451613,0.290323,0.854902]
recall
0.6029411764705882 [0.477064,0.244898,0.333333,0.409836,0.354839,0.910156]
recall
0.5515548281505729 [0.366972,0.25,0.293333,0.344262,0.258065,0.882812]
recall
0.5990180032733224 [0.449541,0.270833,0.324324,0.311475,0.428571,0.914062]
relative_absolute_error
0.601860915627256
relative_absolute_error
0.531990975463345
relative_absolute_error
0.5752958083798373
relative_absolute_error
0.6057886527996073
relative_absolute_error
0.5558490864397836
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.5965341510020884
relative_absolute_error
0.5333738120774312
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_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
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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
0.3806312839112659
root_mean_squared_error
0.3638034375544993
root_mean_squared_error
0.3866286641595637
root_mean_squared_error
0.3655963150464718
root_relative_squared_error
1.0973966950175724
root_relative_squared_error
1.0314034366862186
root_relative_squared_error
1.0724465350894963
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
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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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total_cost
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