9040120
1935
Hilde Weerts
146802
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6975046
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
true
7684
class_weight
null
7684
criterion
"entropy"
7684
max_depth
null
7684
max_features
0.031159777396908783
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
11
7684
min_samples_split
9
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
openml-python
Sklearn_0.19.1.
study_98
40971
collins
https://www.openml.org/data/download/17953251/php5OMDBD
-1
18994769
description
https://api.openml.org/data/download/18994769/description.xml
-1
18994770
predictions
https://api.openml.org/data/download/18994770/predictions.arff
area_under_roc_curve
0.8554991340096141 [0.885603,0.870275,0.935731,0.787685,0.902605,0.758206,0.788829,0.890893,0.850408,0.910189,0.909921,0.934775,0.933556,0.910473,0.745151,0.899629,0.933501,0.954521,0.86099,0.847856,0.660736,0.793413,0.934192,0.869389,0.893356,0.904244,0.861838,0.907383,0.91857,0.68853]
average_cost
0
kappa
0.22168133866550824
kb_relative_information_score
225.58119605632433
mean_absolute_error
0.060336766200567854
mean_prior_absolute_error
0.06362666666666673
number_of_instances
1000 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9,44,27,17,17,36,48,75,30,80,29,24,6,29,29,9]
predictive_accuracy
0.26899999999999996
prior_entropy
4.664224865324832
recall
0.269 [0.431818,0,0,0,0.388889,0.104167,0.333333,0,0.45,0.172414,0,0,0.37931,0.344828,0,0.409091,0.296296,0,0,0.277778,0,0.4,0.133333,0.6375,0.068966,0.25,0,0.275862,0.241379,0]
relative_absolute_error
0.9482936850466437
root_mean_prior_squared_error
0.17832953750912986
root_mean_squared_error
0.17144082192765958
root_relative_squared_error
0.9613708661072615
total_cost
0
area_under_roc_curve
0.8499386328899148 [0.869474,0.965636,1,0.989899,0.994792,0.766316,0.718894,0.934708,0.887228,0.94898,0.979592,0.878788,0.969072,0.896907,0.79798,0.898438,0.972509,0.897959,0.555556,0.901042,0.509474,0.669837,0.965636,0.887228,0.883162,0.897959,0.79798,0.941581,0.876289,0.818182]
area_under_roc_curve
0.8577624942902702 [0.882812,0.917526,0.984694,0.878788,0.917526,0.585263,0.869432,0.879725,0.927989,0.883162,0.883162,0.979798,0.85567,0.804124,0.979798,0.958333,0.797251,0.954082,1,0.942708,0.842105,0.705163,0.989691,0.877717,0.742268,0.704082,0.0,0.938144,0.972509,0.464646]
area_under_roc_curve
0.8527114236592576 [0.742188,0.907216,0.984694,0.959596,0.907216,0.766316,0.686141,0.948454,0.830163,0.886598,0.896907,0.909091,0.924399,0.910653,0.0,0.885417,0.986254,0.994898,1,0.908854,0.635789,0.841033,0.879725,0.875,0.938144,0.918367,0.0,0.945017,0.962199,0.313131]
area_under_roc_curve
0.8476415976999323 [0.872396,0.945017,0.989796,0.80102,0.845361,0.755789,0.850543,0.965636,0.741848,0.900344,0.982818,0.919192,0.943878,0.910653,0.727273,0.888021,0.962199,0.979592,0.954082,0.664062,0.707368,0.721966,0.969072,0.80163,0.943878,0.892857,0.0,0.90378,0.931271,0.939394]
area_under_roc_curve
0.8578303640544579 [0.973958,0.841837,0.928571,0.744898,0.962199,0.787368,0.732337,0.907216,0.853261,0.914089,0.945017,0.0,0.876289,0.927835,0.606061,0.950521,0.95189,0.984694,0.928571,0.817708,0.562105,0.801843,0.907216,0.91712,0.852234,0.986254,0.0,0.862543,0.896907,0.0]
area_under_roc_curve
0.8634491114684403 [0.963542,0.989796,1,0.647959,0.914062,0.747368,0.824728,0.993127,0.786685,0.962199,0.836735,0.0,0.938144,0.907216,0.838384,0.916667,0.958763,0.969388,0.897959,0.835052,0.545263,0.887865,0.972509,0.839674,0.879725,0.896907,0.949495,0.918367,0.938144,0.727273]
area_under_roc_curve
0.8690661218475065 [0.75,0.663265,0.80102,0.821429,0.796875,0.921875,0.900815,0.800687,0.89538,0.914089,0.795918,0.0,0.982818,0.962199,0.555556,0.991579,0.955326,0.984694,0.647959,0.910653,0.669474,0.812596,0.948454,0.896739,0.920962,0.890034,0.777778,0.975945,0.989796,0.969697]
area_under_roc_curve
0.8555399193046364 [0.949474,0.862543,0.989796,0.923469,0.820312,0.627604,0.880184,0.95189,0.826087,0.938144,0.97449,0.0,0.945017,0.962199,0.464646,0.816842,0.97449,0.959596,0.857143,0.982818,0.68,0.786482,0.876289,0.785326,0.910653,0.917526,0.929293,0.924399,0.872852,0.747475]
area_under_roc_curve
0.8597581981131027 [0.938947,0.886598,0.606061,0.734694,0.901042,0.84,0.700461,0.900344,0.811141,0.879725,0.826531,1,0.965636,0.931271,0.888889,0.892632,0.943878,0.858586,0.928571,0.769759,0.747396,0.813859,0.924399,0.911685,0.969072,0.964286,1,0.917526,0.876289,0.616162]
area_under_roc_curve
0.8673549144550665 [0.924211,0.704467,1,0.663265,0.992188,0.821053,0.737327,0.71134,0.945652,0.910653,0.908163,0.949495,0.945017,0.908163,0.818182,0.84,0.811224,0.969697,0.897959,0.893229,0.78125,0.896739,0.910653,0.907609,0.914089,0.989796,0.858586,0.786942,0.914089,0.636364]
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
kappa
0.22016878538617668
kappa
0.1908868306185457
kappa
0.17857904843183273
kappa
0.13857279591619695
kappa
0.23101570009612304
kappa
0.22356945330780686
kappa
0.28995337007206445
kappa
0.2024670353041259
kappa
0.24347362812999465
kappa
0.2979470269120306
kb_relative_information_score
22.69543549942988
kb_relative_information_score
21.509965466695185
kb_relative_information_score
22.954587285088607
kb_relative_information_score
21.744656465931953
kb_relative_information_score
22.235124898982143
kb_relative_information_score
23.298916604013613
kb_relative_information_score
23.33213396598213
kb_relative_information_score
22.75717182608727
kb_relative_information_score
22.226031096992184
kb_relative_information_score
22.827172947121095
mean_absolute_error
0.06028265468841992
mean_absolute_error
0.060496460086106874
mean_absolute_error
0.06026114185758973
mean_absolute_error
0.06067989020551579
mean_absolute_error
0.060372725125626615
mean_absolute_error
0.0602064404154919
mean_absolute_error
0.0600331579922228
mean_absolute_error
0.06042376981444346
mean_absolute_error
0.06041518726124772
mean_absolute_error
0.06019623455901422
mean_prior_absolute_error
0.06361488673139154
mean_prior_absolute_error
0.06362524271844655
mean_prior_absolute_error
0.06358252427184462
mean_prior_absolute_error
0.06364077669902908
mean_prior_absolute_error
0.06361488673139153
mean_prior_absolute_error
0.0636394822006472
mean_prior_absolute_error
0.06364207119741096
mean_prior_absolute_error
0.06365436893203878
mean_prior_absolute_error
0.06362847896440124
mean_prior_absolute_error
0.06362394822006467
number_of_instances
100 [5,3,1,1,4,5,7,3,8,2,2,1,3,3,1,4,3,2,1,4,5,8,3,8,3,2,1,3,3,1]
number_of_instances
100 [4,3,2,1,3,5,7,3,8,3,3,1,3,3,1,4,3,2,1,4,5,8,3,8,3,2,0,3,3,1]
number_of_instances
100 [4,3,2,1,3,5,8,3,8,3,3,1,3,3,0,4,3,2,1,4,5,8,3,8,3,2,0,3,3,1]
number_of_instances
100 [4,3,2,2,3,5,8,3,8,3,3,1,2,3,1,4,3,2,2,4,5,7,3,8,2,2,0,3,3,1]
number_of_instances
100 [4,2,2,2,3,5,8,3,8,3,3,0,3,3,1,4,3,2,2,4,5,7,3,8,3,3,0,3,3,0]
number_of_instances
100 [4,2,2,2,4,5,8,3,8,3,2,0,3,3,1,4,3,2,2,3,5,7,3,8,3,3,1,2,3,1]
number_of_instances
100 [4,2,2,2,4,4,8,3,8,3,2,0,3,3,1,5,3,2,2,3,5,7,3,8,3,3,1,3,2,1]
number_of_instances
100 [5,3,2,2,4,4,7,3,8,3,2,0,3,3,1,5,2,1,2,3,5,7,3,8,3,3,1,3,3,1]
number_of_instances
100 [5,3,1,2,4,5,7,3,8,3,2,1,3,3,1,5,2,1,2,3,4,8,3,8,3,2,1,3,3,1]
number_of_instances
100 [5,3,1,2,4,5,7,3,8,3,2,1,3,2,1,5,2,1,2,4,4,8,3,8,3,2,1,3,3,1]
predictive_accuracy
0.27
predictive_accuracy
0.24
predictive_accuracy
0.23
predictive_accuracy
0.19
predictive_accuracy
0.28
predictive_accuracy
0.27
predictive_accuracy
0.33
predictive_accuracy
0.25
predictive_accuracy
0.29
predictive_accuracy
0.34
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
recall
0.27 [0.2,0,0,0,0.25,0.2,0.142857,0,0.75,0,0,0,0.333333,0.666667,0,0.25,0.333333,0,0,0.25,0,0.125,0,0.875,0,0,0,0.666667,0.333333,0]
recall
0.24 [0.25,0,0,0,0,0,0.428571,0,0.625,0,0,0,0,0.333333,0,0.75,0.666667,0,0,0.5,0,0.125,0,0.75,0,0,0.0,0,0,0]
recall
0.23 [0,0,0,0,0.333333,0,0.5,0,0.25,0.333333,0,0,0.666667,0,0.0,0.25,0.666667,0,0,0,0,0.375,0.333333,0.5,0,0.5,0.0,0.333333,0,0]
recall
0.19 [0.75,0,0,0,0.333333,0.2,0.125,0,0.375,0,0,0,0.5,0,0,0.5,0,0,0,0,0,0.285714,0,0.5,0,0,0.0,0,0.333333,0]
recall
0.28 [0.5,0,0,0,0.333333,0,0.5,0,0.625,0,0,0.0,0,0.666667,0,0.5,0,0,0,0,0,0.571429,0,0.625,0,0.666667,0.0,0,0.333333,0.0]
recall
0.27 [0.75,0,0,0,0.5,0,0.125,0,0.5,0.333333,0,0.0,0.333333,0.333333,0,0.25,0,0,0,0.666667,0,0.714286,0,0.5,0,0.333333,0,0,0.333333,0]
recall
0.33 [0.25,0,0,0,0.75,0,0.25,0,0.375,0,0,0.0,0.333333,0.333333,0,0.6,0.333333,0,0,0.666667,0,0.571429,0.333333,0.625,0.333333,0,0,1,1,0]
recall
0.25 [0.8,0,0,0,0.25,0,0.428571,0,0.5,0.333333,0,0.0,0.333333,0,0,0.4,0,0,0,0,0,0.285714,0.333333,0.5,0.333333,0,0,0.333333,0,0]
recall
0.29 [0.4,0,0,0,0.25,0.2,0.142857,0,0.25,0.666667,0,0,0.666667,0.666667,0,0.2,0.5,0,0,0.666667,0,0.5,0.333333,0.625,0,0.5,0,0,0.333333,0]
recall
0.34 [0.4,0,0,0,0.75,0.4,0.714286,0,0.25,0,0,0,0.666667,0.5,0,0.4,0.5,0,0,0.25,0,0.5,0,0.875,0,0.5,0,0.333333,0,0]
relative_absolute_error
0.9476186752160436
relative_absolute_error
0.9508248220571021
relative_absolute_error
0.9477626525166813
relative_absolute_error
0.9534750100942992
relative_absolute_error
0.9490345456488092
relative_absolute_error
0.946054844155844
relative_absolute_error
0.9432935927871724
relative_absolute_error
0.9492478022829115
relative_absolute_error
0.9494991589386995
relative_absolute_error
0.9461254172847846
root_mean_prior_squared_error
0.17829650589101573
root_mean_prior_squared_error
0.17832554500127015
root_mean_prior_squared_error
0.1782057281722394
root_mean_prior_squared_error
0.1783690948022738
root_mean_prior_squared_error
0.17829650589101576
root_mean_prior_squared_error
0.17836546605831713
root_mean_prior_squared_error
0.17837272347240885
root_mean_prior_squared_error
0.17840719215769374
root_mean_prior_squared_error
0.17833461875349585
root_mean_prior_squared_error
0.17832191537110112
root_mean_squared_error
0.17149002715344444
root_mean_squared_error
0.17176677757580575
root_mean_squared_error
0.17112922824603663
root_mean_squared_error
0.17268526089883232
root_mean_squared_error
0.17154531048329416
root_mean_squared_error
0.1711376402650202
root_mean_squared_error
0.17050485660464976
root_mean_squared_error
0.1717117539282703
root_mean_squared_error
0.1714603737554354
root_mean_squared_error
0.1709681521603643
root_relative_squared_error
0.96182494601587
root_relative_squared_error
0.963220258626336
root_relative_squared_error
0.9602902779905976
root_relative_squared_error
0.9681344242412502
root_relative_squared_error
0.9621350100273515
root_relative_squared_error
0.9594774372358955
root_relative_squared_error
0.9558908631622923
root_relative_squared_error
0.9624710296235962
root_relative_squared_error
0.9614531096311567
root_relative_squared_error
0.9587613042657539
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
2652.589146000537
usercpu_time_millis
2666.190916001142
usercpu_time_millis
2659.0979270004027
usercpu_time_millis
2663.180875000762
usercpu_time_millis
2660.311231999003
usercpu_time_millis
2665.6463269991946
usercpu_time_millis
2650.032966001163
usercpu_time_millis
2669.585198002096
usercpu_time_millis
2605.3317179976148
usercpu_time_millis
2634.4378350004263
usercpu_time_millis_testing
127.20493800043187
usercpu_time_millis_testing
123.60222700044687
usercpu_time_millis_testing
124.74876700071036
usercpu_time_millis_testing
122.25370200030738
usercpu_time_millis_testing
126.85932899876207
usercpu_time_millis_testing
129.76925099974324
usercpu_time_millis_testing
129.3414540014055
usercpu_time_millis_testing
160.02211200066085
usercpu_time_millis_testing
120.9536289989046
usercpu_time_millis_testing
124.86694499966688
usercpu_time_millis_training
2525.384208000105
usercpu_time_millis_training
2542.588689000695
usercpu_time_millis_training
2534.3491599996923
usercpu_time_millis_training
2540.927173000455
usercpu_time_millis_training
2533.451903000241
usercpu_time_millis_training
2535.8770759994513
usercpu_time_millis_training
2520.6915119997575
usercpu_time_millis_training
2509.5630860014353
usercpu_time_millis_training
2484.37808899871
usercpu_time_millis_training
2509.5708900007594