10330435
8323
Heinrich Peters
14970
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8186043
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
42.8718089702478
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.6390272054347252
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.02965844567448009
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
63641
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.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
21582567
description
https://api.openml.org/data/download/21582567/description.xml
-1
21582568
predictions
https://api.openml.org/data/download/21582568/predictions.arff
area_under_roc_curve
0.8125374421867558 [0.820859,0.805433,0.558321,0.860424,0.877722,0.886987]
average_cost
0
f_measure
0.6943909628803913 [0.528644,0.754988,0.208917,0.827675,0.848238,0.871528]
kappa
0.623282972660855
kb_relative_information_score
0.6461700709530713
mean_absolute_error
0.10402304430851238
mean_prior_absolute_error
0.27709458719152297
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.874239012752824 [0.359365,0.983368,1,0.960595,0.953504,0.996032]
predictive_accuracy
0.6879308670744733
prior_entropy
2.575922879508845
recall
0.6879308670744733 [0.999419,0.612694,0.116643,0.727068,0.763903,0.774691]
relative_absolute_error
0.37540626600769167
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.32252603663659835
root_relative_squared_error
0.8664950143207846
total_cost
0
area_under_roc_curve
0.8123130961435616 [0.820513,0.778359,0.546429,0.870661,0.873984,0.909794]
area_under_roc_curve
0.8035110224461864 [0.813527,0.786894,0.546429,0.842571,0.874218,0.887979]
area_under_roc_curve
0.8093264080108394 [0.817599,0.8,0.560714,0.868901,0.873984,0.870536]
area_under_roc_curve
0.8080963051033474 [0.818182,0.825806,0.549645,0.840349,0.892262,0.860825]
area_under_roc_curve
0.821429668278904 [0.826721,0.79756,0.570922,0.852759,0.918076,0.89433]
area_under_roc_curve
0.8266848141056716 [0.832555,0.82621,0.56383,0.884245,0.872744,0.914948]
area_under_roc_curve
0.8145500984214402 [0.822844,0.821429,0.560284,0.867265,0.878603,0.875127]
area_under_roc_curve
0.799442680797965 [0.807692,0.772156,0.56383,0.863128,0.857681,0.869231]
area_under_roc_curve
0.8086955627026637 [0.818182,0.834416,0.546099,0.819103,0.89135,0.879487]
area_under_roc_curve
0.8213566373207895 [0.830805,0.811688,0.575,0.895261,0.844588,0.907692]
average_cost
0
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0
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0
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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
f_measure
0.6898660321608482 [0.527607,0.707317,0.169935,0.841772,0.847059,0.90085]
f_measure
0.6765385115179582 [0.519757,0.717131,0.169935,0.803922,0.84058,0.870317]
f_measure
0.6909272202647693 [0.523592,0.75,0.216561,0.833856,0.847059,0.849558]
f_measure
0.6856098583852634 [0.52439,0.789062,0.180645,0.802632,0.856338,0.838323]
f_measure
0.7100141053691154 [0.538103,0.741935,0.248447,0.823529,0.901408,0.881844]
f_measure
0.7161781820993177 [0.546603,0.782946,0.226415,0.867089,0.843658,0.907042]
f_measure
0.6981686898932289 [0.530864,0.782609,0.21519,0.835443,0.852941,0.852174]
f_measure
0.6772304319160287 [0.510386,0.702929,0.226415,0.828025,0.823881,0.849558]
f_measure
0.6855148791865884 [0.52439,0.801556,0.168831,0.77027,0.858757,0.862974]
f_measure
0.7094616142908765 [0.542587,0.768,0.26087,0.863222,0.806061,0.898305]
kappa
0.6224898866991598
kappa
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kappa
0.6168250667237014
kappa
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kappa
0.641220383435897
kappa
0.6518440621948471
kappa
0.6274021097272007
kappa
0.5969491351901671
kappa
0.6156108594710894
kappa
0.6410444655977291
kb_relative_information_score
0.6444867227079822
kb_relative_information_score
0.6290559022247321
kb_relative_information_score
0.6405520050432281
kb_relative_information_score
0.6384562785194688
kb_relative_information_score
0.6621748411740438
kb_relative_information_score
0.6722493980458109
kb_relative_information_score
0.6502845332254149
kb_relative_information_score
0.6222818262354552
kb_relative_information_score
0.6393001534190492
kb_relative_information_score
0.662873810982662
mean_absolute_error
0.10420711974109989
mean_absolute_error
0.10906148867313865
mean_absolute_error
0.10582524271844615
mean_absolute_error
0.10647249190938465
mean_absolute_error
0.09902912621359188
mean_absolute_error
0.09611650485436861
mean_absolute_error
0.10291262135922288
mean_absolute_error
0.11132686084142342
mean_absolute_error
0.1061488673139154
mean_absolute_error
0.09912536443148652
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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precision
0.8737490050336634 [0.358333,0.956044,1,0.963768,0.966443,1]
precision
0.8623102991687015 [0.351852,0.9375,1,0.960938,0.941558,0.986928]
precision
0.8749041945209233 [0.354639,1,1,0.943262,0.966443,0.993103]
precision
0.8723334721569497 [0.355372,1,1,0.968254,0.921212,1]
precision
0.882391555244659 [0.368085,0.978723,1,0.984375,0.969697,1]
precision
0.882213469904932 [0.376087,0.971154,1,0.992754,0.959732,1]
precision
0.8759017444039667 [0.361345,1,1,0.956522,0.966667,0.98]
precision
0.8719595895695932 [0.342629,0.988235,1,0.948905,0.958333,1]
precision
0.8726188559224131 [0.355372,1,1,0.957983,0.932515,1]
precision
0.8757485819980371 [0.372294,1,1,0.934211,0.956835,1]
predictive_accuracy
0.687378640776699
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.6815533980582525
predictive_accuracy
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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
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prior_entropy
2.5761156998831467
prior_entropy
2.575945945073779
prior_entropy
2.575847838744184
prior_entropy
2.575847838744184
prior_entropy
2.5755594010061413
recall
0.6873786407766991 [1,0.56129,0.092857,0.747191,0.753927,0.819588]
recall
0.6728155339805825 [0.994186,0.580645,0.092857,0.691011,0.759162,0.778351]
recall
0.6825242718446602 [1,0.6,0.121429,0.747191,0.753927,0.742268]
recall
0.6805825242718446 [1,0.651613,0.099291,0.685393,0.8,0.721649]
recall
0.7029126213592233 [1,0.597403,0.141844,0.707865,0.842105,0.78866]
recall
0.7116504854368932 [1,0.655844,0.12766,0.769663,0.752632,0.829897]
recall
0.6912621359223301 [1,0.642857,0.120567,0.741573,0.763158,0.753846]
recall
0.6660194174757281 [1,0.545455,0.12766,0.734463,0.722513,0.738462]
recall
0.6815533980582524 [1,0.668831,0.092199,0.644068,0.795812,0.758974]
recall
0.7026239067055393 [1,0.623377,0.15,0.80226,0.696335,0.815385]
relative_absolute_error
0.3760740893870871
relative_absolute_error
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relative_absolute_error
0.38191374916017845
relative_absolute_error
0.3842278395627832
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_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_relative_squared_error
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total_cost
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