9040098
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)
6975024
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
0.44486528467261044
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
14
7684
min_samples_split
6
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
18994725
description
https://api.openml.org/data/download/18994725/description.xml
-1
18994726
predictions
https://api.openml.org/data/download/18994726/predictions.arff
area_under_roc_curve
0.8457385113571096 [0.902601,0.854478,0.915445,0.796062,0.888169,0.720391,0.790602,0.853058,0.843954,0.90962,0.888277,0.875755,0.927554,0.89957,0.656127,0.897418,0.915915,0.914188,0.829873,0.870764,0.635854,0.777196,0.918488,0.863872,0.88636,0.889045,0.885647,0.90923,0.923932,0.761408]
average_cost
0
kappa
0.22732844045242567
kb_relative_information_score
289.2685895065141
mean_absolute_error
0.058304452137268294
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
0.27
prior_entropy
4.664224865324832
recall
0.27 [0.409091,0.074074,0.294118,0,0.277778,0.083333,0.4,0,0.45,0.344828,0.083333,0,0.413793,0.137931,0,0.431818,0.444444,0.058824,0,0.194444,0,0.32,0.4,0.45,0.034483,0.375,0,0.241379,0.310345,0]
relative_absolute_error
0.9163524539595804
root_mean_prior_squared_error
0.17832953750912986
root_mean_squared_error
0.16913120595732645
root_relative_squared_error
0.9484194728462607
total_cost
0
area_under_roc_curve
0.8333817665537333 [0.842105,0.965636,1,1,0.966146,0.734737,0.723502,0.865979,0.892663,0.943878,0.938776,0.757576,0.955326,0.869416,0.777778,0.880208,0.945017,0.892857,0.808081,0.901042,0.435789,0.627717,0.986254,0.868207,0.85567,0.882653,0.828283,0.941581,0.914089,0.727273]
area_under_roc_curve
0.8429184292590868 [0.927083,0.955326,0.989796,0.838384,0.927835,0.538947,0.804916,0.821306,0.94837,0.910653,0.927835,0.878788,0.869416,0.783505,0.656566,0.960938,0.766323,0.959184,0.878788,0.966146,0.789474,0.714674,0.975945,0.830163,0.756014,0.622449,0.0,0.948454,0.941581,0.505051]
area_under_roc_curve
0.8612597255621565 [0.796875,0.886598,0.964286,0.929293,0.845361,0.814737,0.78125,0.931271,0.820652,0.872852,0.859107,0.969697,0.927835,0.862543,0.0,0.875,0.982818,0.97449,1,0.942708,0.572632,0.83288,0.85567,0.910326,0.938144,0.954082,0.0,0.979381,0.931271,0.666667]
area_under_roc_curve
0.8409465382040431 [0.921875,0.890034,0.994898,0.877551,0.810997,0.751579,0.820652,0.893471,0.771739,0.910653,0.934708,0.979798,0.954082,0.931271,0.737374,0.861979,0.958763,0.964286,0.80102,0.653646,0.766316,0.721966,0.955326,0.763587,0.959184,0.933673,0.0,0.876289,0.927835,0.89899]
area_under_roc_curve
0.8521095820989153 [0.984375,0.755102,0.841837,0.765306,0.945017,0.621053,0.807065,0.907216,0.817935,0.869416,0.938144,0.0,0.876289,0.934708,0.535354,0.960938,0.927835,0.913265,0.892857,0.890625,0.644211,0.771121,0.838488,0.932065,0.859107,0.989691,0.0,0.893471,0.958763,0.0]
area_under_roc_curve
0.8702941444147813 [0.950521,0.97449,0.969388,0.744898,0.9375,0.810526,0.798913,0.989691,0.758152,0.975945,0.862245,0.0,0.900344,0.907216,0.79798,0.966146,0.927835,0.964286,0.954082,0.841924,0.595789,0.869432,0.948454,0.866848,0.917526,0.872852,1,0.928571,0.965636,0.767677]
area_under_roc_curve
0.8578692031887047 [0.791667,0.780612,0.709184,0.760204,0.783854,0.901042,0.838315,0.752577,0.898098,0.907216,0.765306,0.0,0.996564,0.979381,0.59596,0.945263,0.958763,0.892857,0.622449,0.927835,0.593684,0.841782,0.962199,0.921196,0.848797,0.900344,0.858586,0.965636,0.984694,0.949495]
area_under_roc_curve
0.8519561846897552 [0.92,0.876289,0.984694,0.897959,0.84375,0.585938,0.920123,0.883162,0.813859,0.90378,0.918367,0.0,0.914089,0.958763,0.373737,0.856842,0.964286,0.878788,0.882653,0.972509,0.701053,0.809524,0.786942,0.771739,0.958763,0.914089,0.868687,0.945017,0.872852,0.919192]
area_under_roc_curve
0.8532531069187742 [0.966316,0.800687,0.818182,0.841837,0.924479,0.766316,0.697389,0.893471,0.802989,0.893471,0.862245,1,0.965636,0.917526,0.616162,0.917895,0.943878,0.747475,0.816327,0.762887,0.695312,0.839674,0.948454,0.896739,0.965636,0.882653,1,0.931271,0.848797,0.737374]
area_under_roc_curve
0.8400239504466717 [0.972632,0.680412,1,0.530612,0.960938,0.770526,0.71275,0.649485,0.921196,0.890034,0.918367,0.737374,0.941581,0.908163,0.828283,0.795789,0.77551,0.868687,0.852041,0.9375,0.671875,0.797554,0.969072,0.891304,0.890034,0.994898,0.767677,0.793814,0.945017,0.717172]
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
0.20475029159155972
kappa
0.24851820491109228
kappa
0.29100529100529104
kappa
0.14457704087020803
kappa
0.18328383538396267
kappa
0.22784006769621326
kappa
0.2792792792792793
kappa
0.22767668218366482
kappa
0.21493740717165288
kappa
0.25065963060686014
kb_relative_information_score
27.86684365784631
kb_relative_information_score
27.753043374918917
kb_relative_information_score
30.277958457389076
kb_relative_information_score
27.751603910112916
kb_relative_information_score
28.394998528253527
kb_relative_information_score
30.353063717845657
kb_relative_information_score
29.977300498794616
kb_relative_information_score
29.36143820147156
kb_relative_information_score
29.239300590169847
kb_relative_information_score
28.293038569711516
mean_absolute_error
0.05852294959462224
mean_absolute_error
0.05860486919106596
mean_absolute_error
0.05789702075791789
mean_absolute_error
0.05887184673287324
mean_absolute_error
0.058485453612434804
mean_absolute_error
0.05814784647497261
mean_absolute_error
0.05773333029320792
mean_absolute_error
0.05839121908134813
mean_absolute_error
0.05809255264408261
mean_absolute_error
0.058297432990157765
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
0.29
predictive_accuracy
0.33
predictive_accuracy
0.19
predictive_accuracy
0.23
predictive_accuracy
0.27
predictive_accuracy
0.32
predictive_accuracy
0.27
predictive_accuracy
0.26
predictive_accuracy
0.29
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 [0.4,0,1,0,0.25,0,0.285714,0,0.75,0.5,0,0,0.333333,0,0,0.5,0.333333,0,0,0,0,0.25,0.333333,0.375,0,0,0,0.333333,0.333333,0]
recall
0.29 [0.25,0,0,0,0,0.2,0.571429,0,0.625,0.333333,0,0,0.333333,0,0,1,0.666667,0,0,0.5,0,0.25,0.333333,0.5,0,0,0.0,0.333333,0,0]
recall
0.33 [0,0.333333,0.5,0,0,0,0.5,0,0.375,0.333333,0,0,0.333333,0,0.0,0.25,1,0.5,0,0.25,0,0.625,0.666667,0.625,0,0.5,0.0,0.666667,0.333333,0]
recall
0.19 [0.75,0,0.5,0,0,0,0.5,0,0.375,0.333333,0,0,0.5,0,0,0.25,0.333333,0,0,0,0,0.142857,0,0.25,0,0,0.0,0,0.333333,0]
recall
0.23 [0.25,0,0,0,0.333333,0,0.375,0,0.5,0.333333,0,0.0,0,0,0,0.5,0.333333,0,0,0,0,0.285714,0.333333,0.375,0,1,0.0,0,0.333333,0.0]
recall
0.27 [0.5,0,0.5,0,0.5,0,0.375,0,0.375,0.666667,0.5,0.0,0,0.333333,0,0.75,0,0,0,0,0,0.285714,0,0.5,0,0.666667,0,0,0.333333,0]
recall
0.32 [0.25,0,0,0,0.5,0.25,0.375,0,0.625,0,0,0.0,0.666667,0.666667,0,0.2,0.333333,0,0,0.333333,0,0.428571,0.666667,0.5,0,0,0,0.666667,1,0]
recall
0.27 [0.8,0,0,0,0.25,0,0.428571,0,0.5,0.333333,0,0.0,0.333333,0.333333,0,0.4,0.5,0,0,0.333333,0,0.285714,0.666667,0.375,0,0.333333,0,0,0,0]
recall
0.26 [0.4,0,0,0,0.5,0,0.142857,0,0.25,0.333333,0,0,1,0,0,0.2,0.5,0,0,0.333333,0,0.375,0.333333,0.5,0.333333,0.5,0,0.333333,0.333333,0]
recall
0.29 [0.4,0.333333,1,0,0.25,0.4,0.428571,0,0.125,0.333333,0.5,0,0.666667,0,0,0.4,0.5,0,0,0.25,0,0.25,0.666667,0.5,0,0.5,0,0,0.333333,0]
relative_absolute_error
0.9199568308866197
relative_absolute_error
0.9210946267097688
relative_absolute_error
0.9105807204253392
relative_absolute_error
0.9250648685714643
relative_absolute_error
0.9193674093830375
relative_absolute_error
0.9137070960388999
relative_absolute_error
0.9071566843593958
relative_absolute_error
0.9173167539166102
relative_absolute_error
0.9129960921521342
relative_absolute_error
0.9162812843446404
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
0.1700689868550538
root_mean_squared_error
0.1696630147880705
root_mean_squared_error
0.1680943977711927
root_mean_squared_error
0.17131604734006076
root_mean_squared_error
0.16908168254045505
root_mean_squared_error
0.16903681801832207
root_mean_squared_error
0.1674463097605078
root_mean_squared_error
0.16913318179231948
root_mean_squared_error
0.1686747238259992
root_mean_squared_error
0.168766736239044
root_relative_squared_error
0.9538548498477529
root_relative_squared_error
0.9514229427245663
root_relative_squared_error
0.9432603513660689
root_relative_squared_error
0.9604581305408791
root_relative_squared_error
0.9483174204423653
root_relative_squared_error
0.9476992478076163
root_relative_squared_error
0.9387439205995465
root_relative_squared_error
0.9480177326193386
root_relative_squared_error
0.9458327553280662
root_relative_squared_error
0.9464161255100245
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
17652.75476700117
usercpu_time_millis
17397.68677200118
usercpu_time_millis
17123.175595999783
usercpu_time_millis
17450.93440599885
usercpu_time_millis
17461.56446200075
usercpu_time_millis
17890.275507001206
usercpu_time_millis
17380.063356999017
usercpu_time_millis
17333.48237700011
usercpu_time_millis
17267.24216599905
usercpu_time_millis
17187.704502999622
usercpu_time_millis_testing
125.25633400036895
usercpu_time_millis_testing
134.73523699940415
usercpu_time_millis_testing
125.28722199931508
usercpu_time_millis_testing
126.10286199924303
usercpu_time_millis_testing
140.18908199977886
usercpu_time_millis_testing
129.3314280010236
usercpu_time_millis_testing
125.4427649982972
usercpu_time_millis_testing
125.85442700037675
usercpu_time_millis_testing
127.53793899901211
usercpu_time_millis_testing
126.7767190001905
usercpu_time_millis_training
17527.4984330008
usercpu_time_millis_training
17262.951535001775
usercpu_time_millis_training
16997.888374000468
usercpu_time_millis_training
17324.831543999608
usercpu_time_millis_training
17321.375380000973
usercpu_time_millis_training
17760.944079000183
usercpu_time_millis_training
17254.62059200072
usercpu_time_millis_training
17207.627949999733
usercpu_time_millis_training
17139.70422700004
usercpu_time_millis_training
17060.927783999432