9039947
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)
6974875
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
false
7684
class_weight
null
7684
criterion
"entropy"
7684
max_depth
null
7684
max_features
0.8876479262605071
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
20
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
18994427
description
https://api.openml.org/data/download/18994427/description.xml
-1
18994428
predictions
https://api.openml.org/data/download/18994428/predictions.arff
area_under_roc_curve
0.8045718845964704 [0.877805,0.822161,0.849979,0.767997,0.763745,0.693912,0.734933,0.825911,0.792711,0.89023,0.865224,0.770456,0.913988,0.871427,0.620249,0.868676,0.850482,0.848304,0.756328,0.828435,0.59723,0.684252,0.900241,0.847201,0.875848,0.876665,0.87173,0.907525,0.898221,0.718971]
average_cost
0
kappa
0.17009035153580737
kb_relative_information_score
277.9283518917982
mean_absolute_error
0.05792457264809204
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
0.213
prior_entropy
4.664224865324832
recall
0.213 [0.340909,0.222222,0.235294,0,0.083333,0.083333,0.306667,0,0.3125,0.206897,0.041667,0,0.310345,0.068966,0,0.318182,0.407407,0.058824,0,0.222222,0.020833,0.226667,0.366667,0.3,0.068966,0.291667,0,0.344828,0.310345,0]
relative_absolute_error
0.9103820093476317
root_mean_prior_squared_error
0.17832953750912986
root_mean_squared_error
0.17255450679636178
root_relative_squared_error
0.9676159609146499
total_cost
0
area_under_roc_curve
0.8107612432770941 [0.791579,0.965636,1,0.989899,0.864583,0.749474,0.651306,0.910653,0.820652,0.908163,0.872449,0.717172,0.986254,0.852234,0.848485,0.854167,0.900344,0.734694,0.717172,0.867188,0.467368,0.626359,0.979381,0.875,0.869416,0.94898,0.808081,0.972509,0.900344,0.535354]
area_under_roc_curve
0.7933142366087259 [0.859375,0.890034,0.959184,0.919192,0.790378,0.595789,0.752688,0.766323,0.927989,0.914089,0.900344,0.757576,0.869416,0.790378,0.434343,0.890625,0.676976,0.908163,0.757576,0.979167,0.583158,0.64538,0.955326,0.794837,0.745704,0.530612,0.0,0.917526,0.859107,0.414141]
area_under_roc_curve
0.8383344755458517 [0.830729,0.896907,0.806122,0.79798,0.666667,0.711579,0.793478,0.886598,0.796196,0.848797,0.821306,0.919192,0.85567,0.872852,0.0,0.895833,0.962199,0.918367,1,0.963542,0.528421,0.827446,0.85567,0.900815,0.982818,0.928571,0.0,0.972509,0.931271,0.646465]
area_under_roc_curve
0.7952827233595436 [0.882812,0.714777,0.984694,0.867347,0.532646,0.694737,0.730978,0.917526,0.702446,0.910653,0.865979,0.777778,0.928571,0.907216,0.949495,0.802083,0.883162,0.923469,0.540816,0.606771,0.781053,0.754224,0.876289,0.755435,0.887755,0.928571,0.0,0.927835,0.948454,0.888889]
area_under_roc_curve
0.8097400992966125 [0.989583,0.892857,0.80102,0.584184,0.835052,0.68,0.808424,0.893471,0.745924,0.814433,0.910653,0.0,0.900344,0.869416,0.525253,0.932292,0.883162,0.852041,0.964286,0.809896,0.589474,0.576037,0.776632,0.857337,0.865979,0.993127,0.0,0.872852,0.938144,0.0]
area_under_roc_curve
0.8198315042058636 [0.898438,0.933673,0.785714,0.688776,0.794271,0.698947,0.777174,0.972509,0.690217,0.938144,0.872449,0.0,0.865979,0.90378,0.79798,0.971354,0.920962,0.97449,0.903061,0.810997,0.549474,0.726575,0.948454,0.830163,0.941581,0.814433,0.949495,0.887755,0.90378,0.717172]
area_under_roc_curve
0.8076179050098999 [0.778646,0.857143,0.653061,0.709184,0.739583,0.908854,0.682065,0.714777,0.866848,0.838488,0.765306,0.0,0.965636,0.900344,0.636364,0.92,0.841924,0.693878,0.515306,0.800687,0.557895,0.723502,0.965636,0.894022,0.845361,0.859107,1,0.969072,0.97449,0.979798]
area_under_roc_curve
0.8132175306386928 [0.936842,0.982818,0.882653,0.928571,0.776042,0.523438,0.863287,0.862543,0.778533,0.879725,0.928571,0.0,0.924399,0.90378,0.156566,0.821053,0.897959,0.929293,0.943878,0.924399,0.637895,0.660522,0.790378,0.76087,0.80756,0.910653,0.767677,0.941581,0.817869,0.909091]
area_under_roc_curve
0.8113148393689031 [0.966316,0.683849,0.575758,0.811224,0.773438,0.642105,0.648233,0.810997,0.789402,0.934708,0.872449,0.929293,0.955326,0.934708,0.464646,0.865263,0.862245,0.909091,0.658163,0.769759,0.669271,0.736413,0.955326,0.891304,0.907216,0.954082,1,0.920962,0.848797,0.757576]
area_under_roc_curve
0.7786240591870849 [0.892632,0.632302,1,0.576531,0.804688,0.732632,0.625192,0.642612,0.865489,0.838488,0.867347,0.565657,0.896907,0.877551,0.838384,0.756842,0.69898,0.656566,0.760204,0.856771,0.630208,0.605978,0.938144,0.894022,0.893471,0.954082,0.767677,0.74055,0.924399,0.666667]
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
0.21019376579612467
kappa
0.17686787674124102
kappa
0.26245917184701295
kappa
0.11485774499473131
kappa
0.1440346613124802
kappa
0.16684243830415524
kappa
0.19788918205804748
kappa
0.1251185833245494
kappa
0.16578669482576558
kappa
0.13547706905640486
kb_relative_information_score
28.793819564883755
kb_relative_information_score
24.683393421772735
kb_relative_information_score
30.570836082548205
kb_relative_information_score
26.687324042687187
kb_relative_information_score
27.005916279212194
kb_relative_information_score
28.12918086887064
kb_relative_information_score
28.6293139615115
kb_relative_information_score
28.580771959718458
kb_relative_information_score
29.57722281445335
kb_relative_information_score
25.270572896139747
mean_absolute_error
0.05755734866321616
mean_absolute_error
0.05867364457526767
mean_absolute_error
0.056875368291352
mean_absolute_error
0.058468842750696186
mean_absolute_error
0.0582161702444786
mean_absolute_error
0.05765931613673564
mean_absolute_error
0.0575711404496146
mean_absolute_error
0.05836437048307731
mean_absolute_error
0.05759322066654821
mean_absolute_error
0.05826630421993441
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
0.25
predictive_accuracy
0.22
predictive_accuracy
0.3
predictive_accuracy
0.16
predictive_accuracy
0.19
predictive_accuracy
0.21
predictive_accuracy
0.24
predictive_accuracy
0.17
predictive_accuracy
0.21
predictive_accuracy
0.18
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
0.25 [0.2,0.333333,1,0,0.25,0,0.285714,0,0.375,0,0,0,0.666667,0.333333,0,0.5,0.666667,0,0,0,0,0.375,0.333333,0.375,0,0,0,0.333333,0.333333,0]
recall
0.22 [0,0,0,0,0,0,0.428571,0,0.25,0.333333,0,0,0.333333,0,0,0.75,0.333333,0,0,1,0.2,0.125,0.666667,0.25,0,0,0.0,0.333333,0,0]
recall
0.3 [0.25,0.666667,0.5,0,0,0,0.5,0,0.375,0,0,0,0,0,0.0,0.25,0.666667,0.5,0,0.25,0,0.5,0.666667,0.375,0.666667,0,0.0,1,0,0]
recall
0.16 [0.5,0,0.5,0,0,0,0.25,0,0.25,0.666667,0,0,0.5,0,0,0,0,0,0,0,0,0.285714,0.333333,0.25,0,0,0.0,0,0.333333,0]
recall
0.19 [0.25,0,0,0,0.333333,0,0.25,0,0.375,0,0.333333,0.0,0,0,0,0.25,0.333333,0,0,0,0,0,0.333333,0.25,0,1,0.0,0.333333,0.666667,0.0]
recall
0.21 [0.25,0.5,0,0,0,0.2,0.375,0,0.375,0.333333,0,0.0,0,0,0,0.5,0.333333,0,0,0,0,0.285714,0,0.5,0,0.333333,0,0,0.333333,0]
recall
0.24 [0.25,0,0,0,0.25,0.25,0.375,0,0.375,0,0,0.0,0.666667,0,0,0,0.666667,0,0,0.666667,0,0.285714,0.333333,0.25,0,0.333333,0,0.666667,0.5,0]
recall
0.17 [0.8,0.333333,0,0,0,0,0.285714,0,0.25,0,0,0.0,0.333333,0.333333,0,0.4,0,0,0,0,0,0,0.333333,0.125,0,0,0,0.666667,0,0]
recall
0.21 [0.6,0,0,0,0,0.2,0.142857,0,0.125,0.666667,0,0,0.333333,0,0,0.4,0.5,0,0,0.333333,0,0.25,0.333333,0.375,0,0.5,0,0,0.333333,0]
recall
0.18 [0.2,0.333333,1,0,0,0.2,0.142857,0,0.375,0,0,0,0.333333,0,0,0.2,0.5,0,0,0,0,0.125,0.333333,0.25,0,0.5,0,0,0.666667,0]
relative_absolute_error
0.9047779791897952
relative_absolute_error
0.9221755716502236
relative_absolute_error
0.8945125872666453
relative_absolute_error
0.9187323879972101
relative_absolute_error
0.9151343849795954
relative_absolute_error
0.9060305669198115
relative_absolute_error
0.9046082153900212
relative_absolute_error
0.9168949667129779
relative_absolute_error
0.9051484744554459
relative_absolute_error
0.9157920225007247
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
0.1717958142291836
root_mean_squared_error
0.17416392071861064
root_mean_squared_error
0.16989222465811007
root_mean_squared_error
0.17465693580318054
root_mean_squared_error
0.17297900429799778
root_mean_squared_error
0.17314358393193607
root_mean_squared_error
0.17081716652452542
root_mean_squared_error
0.1729490708655803
root_mean_squared_error
0.17090626110352433
root_mean_squared_error
0.174172385025092
root_relative_squared_error
0.9635399940714167
root_relative_squared_error
0.9766627698649127
root_relative_squared_error
0.9533488423778715
root_relative_squared_error
0.9791883285430792
root_relative_squared_error
0.9701760751482795
root_relative_squared_error
0.9707236930904902
root_relative_squared_error
0.9576417470070634
root_relative_squared_error
0.9694063830829812
root_relative_squared_error
0.9583459582783562
root_relative_squared_error
0.9767301156597962
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
36126.483287000156
usercpu_time_millis
35313.159926998196
usercpu_time_millis
34233.18823599766
usercpu_time_millis
35044.18116999841
usercpu_time_millis
35350.71329899802
usercpu_time_millis
35180.297109000094
usercpu_time_millis
35357.70269800196
usercpu_time_millis
35620.23600300017
usercpu_time_millis
35979.38832799991
usercpu_time_millis
34841.72951599794
usercpu_time_millis_testing
122.65507499978412
usercpu_time_millis_testing
124.97111499942548
usercpu_time_millis_testing
126.9668279983307
usercpu_time_millis_testing
126.01388899929589
usercpu_time_millis_testing
132.7671069993812
usercpu_time_millis_testing
127.06343399986508
usercpu_time_millis_testing
122.70761800027685
usercpu_time_millis_testing
138.69978799993987
usercpu_time_millis_testing
129.6281729992188
usercpu_time_millis_testing
128.04452699856483
usercpu_time_millis_training
36003.82821200037
usercpu_time_millis_training
35188.18881199877
usercpu_time_millis_training
34106.22140799933
usercpu_time_millis_training
34918.167280999114
usercpu_time_millis_training
35217.946191998635
usercpu_time_millis_training
35053.23367500023
usercpu_time_millis_training
35234.99508000168
usercpu_time_millis_training
35481.53621500023
usercpu_time_millis_training
35849.760155000695
usercpu_time_millis_training
34713.684988999375