10227117
1
Jan van Rijn
125921
Supervised Classification
9666
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4)
8152549
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"most_frequent"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
criterion
"friedman_mse"
9667
init
null
9667
learning_rate
0.014963576471840179
9667
loss
"deviance"
9667
max_depth
6
9667
max_features
0.8745748426205976
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5135707633631957
9667
min_impurity_split
null
9667
min_samples_leaf
4
9667
min_samples_split
2
9667
min_weight_fraction_leaf
0.252528991576276
9667
n_estimators
418
9667
n_iter_no_change
1860
9667
presort
"auto"
9667
random_state
36777
9667
subsample
0.49272634299884477
9667
tol
0.006914121809475711
9667
validation_fraction
0.5368227282177855
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
40496
LED-display-domain-7digit
https://www.openml.org/data/download/4535757/phpSj3fWL
-1
21375150
description
https://api.openml.org/data/download/21375150/description.xml
-1
21375151
predictions
https://api.openml.org/data/download/21375151/predictions.arff
area_under_roc_curve
0.4779368550789907 [0.953016,0.076324,0.421765,0.830739,0.300459,0.32864,0.814781,0.144965,0.253303,0.646952]
average_cost
0
f_measure
0.08363454867548306 [0.731183,0,0.024691,0.022989,0,0,0.055556,0,0,0.07619]
kappa
-0.014622103220592614
kb_relative_information_score
42.71630748189311
mean_absolute_error
0.17957476164630173
mean_prior_absolute_error
0.17974901960784273
number_of_instances
500 [45,37,51,57,52,52,47,57,53,49]
precision
0.08257295081967213 [0.708333,0,0.033333,0.033333,0,0,0.04918,0,0,0.071429]
predictive_accuracy
0.086
prior_entropy
3.3126901837382854
recall
0.086 [0.755556,0,0.019608,0.017544,0,0,0.06383,0,0,0.081633]
relative_absolute_error
0.9990305484729699
root_mean_prior_squared_error
0.29978667283894056
root_mean_squared_error
0.32368318456521294
root_relative_squared_error
1.0797117213382954
total_cost
0
area_under_roc_curve
0.44763285024154587 [0.978261,0.103261,0.462222,0.8,0.271111,0.266667,0.831111,0.05303,0.19697,0.68]
area_under_roc_curve
0.4502178304787 [1,0.008152,0.457778,0.78,0.284444,0.228889,0.817778,0.085227,0.251894,0.722222]
area_under_roc_curve
0.45571058410188847 [0.896739,0.184783,0.322222,0.748889,0.32,0.314394,0.836957,0.253788,0.268939,0.626667]
area_under_roc_curve
0.46984233640755385 [0.978261,0,0.268889,0.867424,0.362222,0.265152,0.820652,0.090909,0.333333,0.826667]
area_under_roc_curve
0.4404543258673694 [1,0.152174,0.253788,0.842803,0.280303,0.382222,0.907609,0.022222,0.222222,0.477778]
area_under_roc_curve
0.5099732103645147 [0.948889,0.105978,0.475556,0.935606,0.333333,0.293333,0.822222,0.06,0.342222,0.6875]
area_under_roc_curve
0.5132070707070707 [0.997778,0,0.362222,0.785985,0.395556,0.406667,0.808889,0.351111,0.173333,0.693333]
area_under_roc_curve
0.48527541371158395 [0.988889,0.042553,0.404444,0.869318,0.377778,0.233333,0.797778,0.151515,0.186667,0.613333]
area_under_roc_curve
0.4813397807865893 [0.851111,0.035461,0.56,0.689394,0.262222,0.526667,0.751111,0.181818,0.213333,0.582222]
area_under_roc_curve
0.5139363851278744 [0.96,0.039007,0.557778,0.907197,0.142222,0.444444,0.804444,0.191288,0.34,0.548889]
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
0.07904761904761905 [0.571429,0,0,0,0,0,0,0,0,0.333333]
f_measure
0.08 [0.8,0,0,0,0,0,0.2,0,0,0]
f_measure
0.08727272727272727 [0.727273,0,0,0,0,0,0,0,0,0.181818]
f_measure
0.10555555555555556 [0.888889,0,0,0,0,0,0,0,0,0.166667]
f_measure
0.08888888888888889 [0.888889,0,0,0,0,0,0,0,0,0]
f_measure
0.05818181818181818 [0.4,0,0,0,0,0,0.181818,0,0,0]
f_measure
0.1183333333333333 [0.666667,0,0.25,0.222222,0,0,0,0,0,0]
kappa
-0.02449888641425389
kappa
-0.023587004895416104
kappa
-0.019955654101995568
kappa
-0.021314387211367667
kappa
0.0004442470013327537
kappa
0.0031014621178555722
kappa
0.0022172949002217312
kappa
-0.020408163265306124
kappa
-0.040283311199645865
kappa
-0.0004446420631391703
kb_relative_information_score
4.63889403244236
kb_relative_information_score
3.728455390890182
kb_relative_information_score
3.1898659413331645
kb_relative_information_score
4.273969852319391
kb_relative_information_score
4.864559304666445
kb_relative_information_score
4.638618142556503
kb_relative_information_score
4.439373646375751
kb_relative_information_score
4.508482585371937
kb_relative_information_score
3.339585351472392
kb_relative_information_score
5.094503234464997
mean_absolute_error
0.17933405741724898
mean_absolute_error
0.18069196713811703
mean_absolute_error
0.1820418819271236
mean_absolute_error
0.18113950130325637
mean_absolute_error
0.17786751578796242
mean_absolute_error
0.17861008104223258
mean_absolute_error
0.17846744253509164
mean_absolute_error
0.17882960284319657
mean_absolute_error
0.18153473481587237
mean_absolute_error
0.17723083165291528
mean_prior_absolute_error
0.17978039215686284
mean_prior_absolute_error
0.17978039215686284
mean_prior_absolute_error
0.17974117647058832
mean_prior_absolute_error
0.17970980392156874
mean_prior_absolute_error
0.17975686274509817
mean_prior_absolute_error
0.17981960784313739
mean_prior_absolute_error
0.17984313725490206
mean_prior_absolute_error
0.17968627450980404
mean_prior_absolute_error
0.17968627450980404
mean_prior_absolute_error
0.17968627450980404
number_of_instances
50 [4,4,5,5,5,5,5,6,6,5]
number_of_instances
50 [4,4,5,5,5,5,5,6,6,5]
number_of_instances
50 [4,4,5,5,5,6,4,6,6,5]
number_of_instances
50 [4,4,5,6,5,6,4,6,5,5]
number_of_instances
50 [4,4,6,6,6,5,4,5,5,5]
number_of_instances
50 [5,4,5,6,6,5,5,5,5,4]
number_of_instances
50 [5,4,5,6,5,5,5,5,5,5]
number_of_instances
50 [5,3,5,6,5,5,5,6,5,5]
number_of_instances
50 [5,3,5,6,5,5,5,6,5,5]
number_of_instances
50 [5,3,5,6,5,5,5,6,5,5]
precision
0.0819047619047619 [0.666667,0,0,0,0,0,0,0,0,0.285714]
precision
0.06666666666666667 [0.666667,0,0,0,0,0,0.166667,0,0,0]
precision
0.07809523809523808 [0.666667,0,0,0,0,0,0,0,0,0.142857]
precision
0.11428571428571428 [1,0,0,0,0,0,0,0,0,0.142857]
precision
0.1 [1,0,0,0,0,0,0,0,0,0]
precision
0.056666666666666664 [0.4,0,0,0,0,0,0.166667,0,0,0]
precision
0.14833333333333332 [0.75,0,0.333333,0.333333,0,0,0,0,0,0]
predictive_accuracy
0.08
predictive_accuracy
0.08
predictive_accuracy
0.08
predictive_accuracy
0.08
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.08
predictive_accuracy
0.06
predictive_accuracy
0.1
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
recall
0.08 [1,0,0,0,0,0,0,0,0,0]
recall
0.08 [1,0,0,0,0,0,0,0,0,0]
recall
0.08 [0.75,0,0,0,0,0,0.25,0,0,0]
recall
0.08 [0.5,0,0,0,0,0,0,0,0,0.4]
recall
0.1 [1,0,0,0,0,0,0.25,0,0,0]
recall
0.1 [0.8,0,0,0,0,0,0,0,0,0.25]
recall
0.1 [0.8,0,0,0,0,0,0,0,0,0.2]
recall
0.08 [0.8,0,0,0,0,0,0,0,0,0]
recall
0.06 [0.4,0,0,0,0,0,0.2,0,0,0]
recall
0.1 [0.6,0,0.2,0.166667,0,0,0,0,0,0]
relative_absolute_error
0.9975173335965113
relative_absolute_error
1.0050704916721886
relative_absolute_error
1.012800102356689
relative_absolute_error
1.0079555892360308
relative_absolute_error
0.9894894307328065
relative_absolute_error
0.9932736656729899
relative_absolute_error
0.9923505854000948
relative_absolute_error
0.9952324034267808
relative_absolute_error
1.0102871536020828
relative_absolute_error
0.9863348335114221
root_mean_prior_squared_error
0.2998389930627122
root_mean_prior_squared_error
0.2998389930627122
root_mean_prior_squared_error
0.2997735913561878
root_mean_prior_squared_error
0.2997212597157016
root_mean_prior_squared_error
0.2997997537508937
root_mean_prior_squared_error
0.29990438050674706
root_mean_prior_squared_error
0.29994360613105325
root_mean_prior_squared_error
0.2996820049882915
root_mean_prior_squared_error
0.2996820049882915
root_mean_prior_squared_error
0.2996820049882915
root_mean_squared_error
0.32361628113007157
root_mean_squared_error
0.3280115974370761
root_mean_squared_error
0.32381006786402283
root_mean_squared_error
0.3245995378753278
root_mean_squared_error
0.32209735245457427
root_mean_squared_error
0.3219542436703568
root_mean_squared_error
0.3209141212051734
root_mean_squared_error
0.32354541683830745
root_mean_squared_error
0.32667497081829583
root_mean_squared_error
0.32153666698748884
root_relative_squared_error
1.0793001864917091
root_relative_squared_error
1.093959108141987
root_relative_squared_error
1.0801821014289252
root_relative_squared_error
1.0830047163929055
root_relative_squared_error
1.074374973377089
root_relative_squared_error
1.0735229779783548
root_relative_squared_error
1.0699148594784766
root_relative_squared_error
1.0796291117010788
root_relative_squared_error
1.0900720276182714
root_relative_squared_error
1.0729261738623619
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
2153.9448690018617
usercpu_time_millis
2064.524506997259
usercpu_time_millis
2045.3596639927127
usercpu_time_millis
2067.2690869978396
usercpu_time_millis
2064.052077002998
usercpu_time_millis
2113.833543007786
usercpu_time_millis
2060.5573119973997
usercpu_time_millis
2061.160127988842
usercpu_time_millis
2055.4292270026053
usercpu_time_millis
2077.883171994472
usercpu_time_millis_testing
2.241104004497174
usercpu_time_millis_testing
1.9218219968024641
usercpu_time_millis_testing
2.245361996756401
usercpu_time_millis_testing
1.985003997106105
usercpu_time_millis_testing
2.062972002022434
usercpu_time_millis_testing
2.1360450045904145
usercpu_time_millis_testing
2.1453450026456267
usercpu_time_millis_testing
2.023826993536204
usercpu_time_millis_testing
2.2090650018071756
usercpu_time_millis_testing
2.0687169962911867
usercpu_time_millis_training
2151.7037649973645
usercpu_time_millis_training
2062.6026850004564
usercpu_time_millis_training
2043.1143019959563
usercpu_time_millis_training
2065.2840830007335
usercpu_time_millis_training
2061.9891050009755
usercpu_time_millis_training
2111.6974980031955
usercpu_time_millis_training
2058.411966994754
usercpu_time_millis_training
2059.1363009953056
usercpu_time_millis_training
2053.220162000798
usercpu_time_millis_training
2075.8144549981807