8703890
1
Jan van Rijn
14967
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6681309
axis
0
7660
categorical_features
[0, 1]
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copy
true
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fill_empty
0
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missing_values
"NaN"
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strategy
"mean"
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strategy_nominal
"most_frequent"
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verbose
0
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categorical_features
[0, 1]
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dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
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handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
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threshold
0.0
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copy
true
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with_mean
false
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with_std
true
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C
0.11089071580209862
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cache_size
200
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class_weight
null
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coef0
0.07192509609801889
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decision_function_shape
null
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degree
5
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gamma
0.00019234433070902874
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kernel
"poly"
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max_iter
-1
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probability
true
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random_state
12405
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shrinking
true
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tol
1.824144347089759e-05
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verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
18324665
description
https://api.openml.org/data/download/18324665/description.xml
-1
18324666
predictions
https://api.openml.org/data/download/18324666/predictions.arff
area_under_roc_curve
0.9954106098810827 [0.997409,0.990138,0.996515,0.995855,0.995447,0.994148]
average_cost
0
f_measure
0.9842582173885981 [0.992126,0.980568,0.993348,0.987141,0.990361,0.935154]
kappa
0.9803661612615092
kb_relative_information_score
2563.039315876157
mean_absolute_error
0.038841601241572404
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.9855578835482962 [1,1,0.998514,0.998,0.987981,0.878205]
predictive_accuracy
0.9839055793991416
prior_entropy
2.5206634795042744
recall
0.9839055793991416 [0.984375,0.961877,0.988235,0.976517,0.992754,1]
relative_absolute_error
0.14233950923599875
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.09285339806491276
root_relative_squared_error
0.2513826585977959
total_cost
0
area_under_roc_curve
0.9959608843537414 [1,0.970588,1,1,1,0.995323]
area_under_roc_curve
0.9956456456456456 [0.998136,1,1,1,0.97561,0.996032]
area_under_roc_curve
0.992433830062116 [1,1,0.986265,1,0.976528,0.992063]
area_under_roc_curve
1 [1,1,1,1,1,1]
area_under_roc_curve
0.9925329254600443 [1,0.970588,0.991468,0.997554,1,0.9858]
area_under_roc_curve
0.9907021701637354 [0.988273,0.990087,0.981063,1,1,0.989313]
area_under_roc_curve
0.9947696552812344 [0.99921,0.965306,1,1,0.999799,0.991623]
area_under_roc_curve
0.9994709726569571 [1,0.99952,0.998536,1,1,0.998824]
area_under_roc_curve
0.9960317460317462 [1,1,1,0.980392,1,0.996032]
area_under_roc_curve
0.9926868933158647 [0.984906,1,1,0.980564,0.999096,0.994415]
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
0.9825560259412717 [1,0.953846,1,0.98,1,0.918033]
f_measure
0.9826972088597409 [0.973451,1,0.992593,1,0.987654,0.918033]
f_measure
0.985929122504001 [1,0.985075,0.992593,0.990099,0.97561,0.949153]
f_measure
0.9929404156012493 [1,0.985075,0.992593,1,1,0.965517]
f_measure
0.9861096021637471 [1,0.985075,0.985075,0.990291,1,0.931034]
f_measure
0.9755567633727491 [0.973451,0.985507,0.985075,0.980392,0.987952,0.915254]
f_measure
0.9751683570465817 [0.99115,0.9375,0.992701,0.98,0.988235,0.915254]
f_measure
0.9822516001733612 [1,0.969697,0.992593,0.98,0.976744,0.947368]
f_measure
0.9964306108030158 [1,1,1,0.990099,1,0.981818]
f_measure
0.9826809432528207 [0.982143,1,1,0.98,0.987952,0.915254]
kappa
0.9782114732156753
kappa
0.9782382292136228
kappa
0.9825705348667113
kappa
0.9912821470826328
kappa
0.9825697211155379
kappa
0.9695392027352553
kappa
0.9693733534060971
kappa
0.9781317113699425
kappa
0.9956229801386841
kappa
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kb_relative_information_score
264.3054848706954
kb_relative_information_score
253.8181924614163
kb_relative_information_score
253.13851221098943
kb_relative_information_score
260.2424258727245
kb_relative_information_score
246.45340952567858
kb_relative_information_score
246.3692473373927
kb_relative_information_score
250.2162277413037
kb_relative_information_score
250.82738889388781
kb_relative_information_score
276.48221105458856
kb_relative_information_score
261.1862159074822
mean_absolute_error
0.02564392235693626
mean_absolute_error
0.04528292596868593
mean_absolute_error
0.04653867488161817
mean_absolute_error
0.03573265764792463
mean_absolute_error
0.05360808594785546
mean_absolute_error
0.05318350642711194
mean_absolute_error
0.04673476075483457
mean_absolute_error
0.04783444973764341
mean_absolute_error
0.004024482100167259
mean_absolute_error
0.02973598685896502
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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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
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
0.9848484848484849 [1,1,1,1,1,0.848485]
precision
0.9848484848484849 [1,1,1,1,1,0.848485]
precision
0.9867511520737328 [1,1,1,1,0.97561,0.903226]
precision
0.9933333333333333 [1,1,1,1,1,0.933333]
precision
0.9875576036866359 [1,1,1,1,1,0.870968]
precision
0.977875212585034 [1,1,1,0.980392,0.97619,0.84375]
precision
0.9778458730020669 [1,1,0.985507,1,0.976744,0.84375]
precision
0.9834799608993157 [1,1,1,1,0.954545,0.9]
precision
0.9965437788018433 [1,1,1,1,1,0.964286]
precision
0.9848790322580645 [1,1,1,1,1,0.84375]
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9928571428571429
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.975
predictive_accuracy
0.974910394265233
predictive_accuracy
0.982078853046595
predictive_accuracy
0.996415770609319
predictive_accuracy
0.982078853046595
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
0.9821428571428571 [1,0.911765,1,0.960784,1,1]
recall
0.9821428571428571 [0.948276,1,0.985294,1,0.97561,1]
recall
0.9857142857142858 [1,0.970588,0.985294,0.980392,0.97561,1]
recall
0.9928571428571429 [1,0.970588,0.985294,1,1,1]
recall
0.9857142857142858 [1,0.970588,0.970588,0.980769,1,1]
recall
0.975 [0.948276,0.971429,0.970588,0.980392,1,1]
recall
0.974910394265233 [0.982456,0.882353,1,0.960784,1,1]
recall
0.982078853046595 [1,0.941176,0.985294,0.960784,1,1]
recall
0.996415770609319 [1,1,1,0.980392,1,1]
recall
0.982078853046595 [0.964912,1,1,0.960784,0.97619,1]
relative_absolute_error
0.0939664863957584
relative_absolute_error
0.16592927508399402
relative_absolute_error
0.1705306894659721
relative_absolute_error
0.1309344273478432
relative_absolute_error
0.19650748914294286
relative_absolute_error
0.19489953571641125
relative_absolute_error
0.17126819127037085
relative_absolute_error
0.17529820533278673
relative_absolute_error
0.014748460438504063
relative_absolute_error
0.10897303426224596
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
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root_mean_prior_squared_error
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root_mean_squared_error
0.07754941562290349
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.07305411176036629
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.10466789770016557
root_mean_squared_error
0.09663528019055977
root_mean_squared_error
0.034810544271421405
root_mean_squared_error
0.08357422822472446
root_relative_squared_error
0.2099308377652666
root_relative_squared_error
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root_relative_squared_error
0.2604970114159855
root_relative_squared_error
0.1977617853192652
root_relative_squared_error
0.3157486334872269
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
0.09424464348740753
root_relative_squared_error
0.22626544653714992
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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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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usercpu_time_millis
3957.8927239999757
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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