5997424
1
Jan van Rijn
14967
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4032157
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
C
306.1874213222023
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.0
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.02554878684519726
6953
kernel
"rbf"
6953
max_iter
-1
6953
probability
true
6953
random_state
42893
6953
shrinking
false
6953
tol
0.07693281442937643
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
12917981
description
https://api.openml.org/data/download/12917981/description.xml
-1
12917982
predictions
https://api.openml.org/data/download/12917982/predictions.arff
area_under_roc_curve
0.9876665523812901 [0.994676,0.976385,0.991988,0.984165,0.987781,0.982603]
average_cost
0
f_measure
0.9082671625961378 [0.961606,0.916418,0.963944,0.857965,0.869148,0.800738]
kappa
0.8876730693115119
kb_relative_information_score
2403.9337894459172
mean_absolute_error
0.05066010515321509
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.9086782775342549 [0.966667,0.933131,0.964654,0.841808,0.863962,0.809701]
predictive_accuracy
0.9080829756795423
prior_entropy
2.5206634795042744
recall
0.9080829756795422 [0.956597,0.900293,0.963235,0.874755,0.874396,0.791971]
relative_absolute_error
0.18564977433615226
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.14464533770978436
root_relative_squared_error
0.3915993415969744
total_cost
0
area_under_roc_curve
0.9912358944389299 [0.999534,0.99737,0.985502,0.985701,0.990917,0.991071]
area_under_roc_curve
0.9814375808342662 [0.987729,0.998087,0.980647,0.978337,0.96816,0.975198]
area_under_roc_curve
0.9889834116997435 [0.998136,0.997728,0.980022,0.981933,0.98857,0.994615]
area_under_roc_curve
0.984240412479415 [0.989515,0.928623,0.998335,0.986471,0.996632,0.98441]
area_under_roc_curve
0.9944843344391964 [0.999612,0.999163,0.998335,0.991565,0.996122,0.971014]
area_under_roc_curve
0.9853401030062461 [0.997981,0.947522,0.996878,0.980992,0.990917,0.977895]
area_under_roc_curve
0.9947844948422229 [0.999447,0.995918,0.999652,0.99226,0.989954,0.983539]
area_under_roc_curve
0.9840564336900499 [1,0.939016,0.994285,0.979446,0.986739,0.985891]
area_under_roc_curve
0.9903759947456556 [0.992097,0.990876,0.993867,0.993206,0.986438,0.978101]
area_under_roc_curve
0.9868204604272811 [0.984511,0.984034,0.997352,0.979962,0.985031,0.984421]
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
0.9251991492526709 [0.965517,0.925373,0.992593,0.848485,0.904762,0.847458]
f_measure
0.8707417924141335 [0.929825,0.90411,0.941176,0.854369,0.763158,0.724138]
f_measure
0.9079797808012093 [0.965517,0.911765,0.962963,0.86,0.857143,0.8125]
f_measure
0.9168932036990758 [0.965517,0.848485,0.970588,0.893204,0.930233,0.792453]
f_measure
0.9279760668037105 [0.964912,0.970588,0.955882,0.895238,0.930233,0.784314]
f_measure
0.8914648688728397 [0.955752,0.923077,0.962406,0.807339,0.850575,0.754717]
f_measure
0.9245934791750592 [0.982456,0.909091,0.971014,0.87037,0.875,0.884615]
f_measure
0.8952612016363463 [0.974359,0.888889,0.963504,0.815534,0.835165,0.808511]
f_measure
0.9147587052820891 [0.964286,0.953846,0.955882,0.87037,0.86747,0.814815]
f_measure
0.9060906844869182 [0.947368,0.927536,0.963504,0.865385,0.86747,0.784314]
kappa
0.9085237791502668
kappa
0.843173862310385
kappa
0.8868528620941546
kappa
0.8995742822835933
kappa
0.9126678414921323
kappa
0.864784870860205
kappa
0.9078280841959536
kappa
0.8725686296127132
kappa
0.8948327312706141
kappa
0.8860097113314581
kb_relative_information_score
244.84450807657348
kb_relative_information_score
232.40585869698384
kb_relative_information_score
242.94495790734925
kb_relative_information_score
242.60298815093768
kb_relative_information_score
245.78790179127387
kb_relative_information_score
236.84252897411912
kb_relative_information_score
241.5326888100468
kb_relative_information_score
239.7134636963989
kb_relative_information_score
239.68595319406163
kb_relative_information_score
237.57294014817165
mean_absolute_error
0.04788605642437182
mean_absolute_error
0.058121924883098
mean_absolute_error
0.04902243023060284
mean_absolute_error
0.04805806301781021
mean_absolute_error
0.0459969734686461
mean_absolute_error
0.053828976796980885
mean_absolute_error
0.04893042093974513
mean_absolute_error
0.049668506562515424
mean_absolute_error
0.05157613899412281
mean_absolute_error
0.05351531005690225
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.9263485615722112 [0.965517,0.939394,1,0.875,0.883721,0.806452]
precision
0.8728120094191524 [0.946429,0.846154,0.941176,0.846154,0.828571,0.7]
precision
0.9126100244646543 [0.965517,0.911765,0.970149,0.877551,0.916667,0.722222]
precision
0.9172493894993894 [0.965517,0.875,0.970588,0.884615,0.888889,0.84]
precision
0.9286497775210714 [0.982143,0.970588,0.955882,0.886792,0.888889,0.833333]
precision
0.8976301696803944 [0.981818,1,0.984615,0.758621,0.804348,0.769231]
precision
0.9266579082113887 [0.982456,0.9375,0.957143,0.824561,0.921053,0.92]
precision
0.9012000026218722 [0.95,0.965517,0.956522,0.807692,0.77551,0.95]
precision
0.9171839309070664 [0.981818,1,0.955882,0.824561,0.878049,0.814815]
precision
0.906125907238439 [0.947368,0.914286,0.956522,0.849057,0.878049,0.833333]
predictive_accuracy
0.925
predictive_accuracy
0.8714285714285714
predictive_accuracy
0.907142857142857
predictive_accuracy
0.9178571428571429
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.8892857142857143
predictive_accuracy
0.9247311827956989
predictive_accuracy
0.8960573476702508
predictive_accuracy
0.9139784946236559
predictive_accuracy
0.9068100358422939
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.925 [0.965517,0.911765,0.985294,0.823529,0.926829,0.892857]
recall
0.8714285714285714 [0.913793,0.970588,0.941176,0.862745,0.707317,0.75]
recall
0.9071428571428571 [0.965517,0.911765,0.955882,0.843137,0.804878,0.928571]
recall
0.9178571428571428 [0.965517,0.823529,0.970588,0.901961,0.97561,0.75]
recall
0.9285714285714286 [0.948276,0.970588,0.955882,0.903846,0.97561,0.740741]
recall
0.8892857142857142 [0.931034,0.857143,0.941176,0.862745,0.902439,0.740741]
recall
0.9247311827956989 [0.982456,0.882353,0.985294,0.921569,0.833333,0.851852]
recall
0.8960573476702509 [1,0.823529,0.970588,0.823529,0.904762,0.703704]
recall
0.9139784946236559 [0.947368,0.911765,0.955882,0.921569,0.857143,0.814815]
recall
0.9068100358422939 [0.947368,0.941176,0.970588,0.882353,0.857143,0.740741]
relative_absolute_error
0.1754678713699257
relative_absolute_error
0.21297494930005004
relative_absolute_error
0.17963186205424553
relative_absolute_error
0.17609815151963681
relative_absolute_error
0.16860795539856038
relative_absolute_error
0.19726496597585771
relative_absolute_error
0.17931459489885415
relative_absolute_error
0.18201944643918128
relative_absolute_error
0.18901031899085685
relative_absolute_error
0.19611677070093048
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.13323060277462573
root_mean_squared_error
0.1686005807022887
root_mean_squared_error
0.1399041465939387
root_mean_squared_error
0.14163523449999452
root_mean_squared_error
0.1274314268926938
root_mean_squared_error
0.1561211147497798
root_mean_squared_error
0.13424460645635314
root_mean_squared_error
0.1472206371271242
root_mean_squared_error
0.14502156680939254
root_mean_squared_error
0.14855953255920162
root_relative_squared_error
0.3606630924526037
root_relative_squared_error
0.4564117069128305
root_relative_squared_error
0.3787287688164862
root_relative_squared_error
0.3834149257842029
root_relative_squared_error
0.3450917263659937
root_relative_squared_error
0.42267314518609717
root_relative_squared_error
0.3634483556746102
root_relative_squared_error
0.3985791302730548
root_relative_squared_error
0.39262545725713166
root_relative_squared_error
0.40220400099266174
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
0
total_cost
0
usercpu_time_millis
2843.0448530000003
usercpu_time_millis
2636.241536
usercpu_time_millis
2653.706928
usercpu_time_millis
2649.046887000001
usercpu_time_millis
2676.637671
usercpu_time_millis
2628.438602000003
usercpu_time_millis
2697.036376
usercpu_time_millis
2734.9408980000017
usercpu_time_millis
2638.804783999998
usercpu_time_millis
2644.6666930000015
usercpu_time_millis_testing
86.3247359999999
usercpu_time_millis_testing
84.43189499999981
usercpu_time_millis_testing
84.10915400000007
usercpu_time_millis_testing
85.62671299999991
usercpu_time_millis_testing
85.17841000000104
usercpu_time_millis_testing
83.64143600000062
usercpu_time_millis_testing
86.85757299999963
usercpu_time_millis_testing
83.19712400000157
usercpu_time_millis_testing
83.07521300000076
usercpu_time_millis_testing
85.96223099999989
usercpu_time_millis_training
2756.7201170000003
usercpu_time_millis_training
2551.8096410000003
usercpu_time_millis_training
2569.597774
usercpu_time_millis_training
2563.4201740000008
usercpu_time_millis_training
2591.459260999999
usercpu_time_millis_training
2544.797166000002
usercpu_time_millis_training
2610.1788030000002
usercpu_time_millis_training
2651.743774
usercpu_time_millis_training
2555.729570999997
usercpu_time_millis_training
2558.7044620000015