10158442
1
Jan van Rijn
14
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)
8083977
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, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]}}, {"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
0.0004874019260286433
9667
loss
"deviance"
9667
max_depth
24
9667
max_features
0.663008544229847
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.6683075747062874
9667
min_impurity_split
null
9667
min_samples_leaf
1
9667
min_samples_split
12
9667
min_weight_fraction_leaf
0.234103412340958
9667
n_estimators
77
9667
n_iter_no_change
123
9667
presort
"auto"
9667
random_state
37735
9667
subsample
0.482842306858995
9667
tol
0.00828986129715404
9667
validation_fraction
0.21906569436436363
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21237647
description
https://api.openml.org/data/download/21237647/description.xml
-1
21237648
predictions
https://api.openml.org/data/download/21237648/predictions.arff
area_under_roc_curve
0.9368686111111111 [0.997353,0.858008,0.967394,0.940864,0.891914,0.972203,0.919436,0.972969,0.947597,0.900947]
average_cost
0
f_measure
0.5317173601755919 [0.919048,0.348837,0.688716,0.701245,0.066986,0.669173,0.465347,0.711538,0.736383,0.009901]
kappa
0.5655555555555556
kb_relative_information_score
59.10953469682971
mean_absolute_error
0.1785896647848308
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6321461166222185 [0.877273,0.775862,0.563694,0.599291,0.777778,0.536145,0.460784,0.578125,0.65251,0.5]
predictive_accuracy
0.609
prior_entropy
3.321928094887362
recall
0.609 [0.965,0.225,0.885,0.845,0.035,0.89,0.47,0.925,0.845,0.005]
relative_absolute_error
0.9921648043601405
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2976677851918141
root_relative_squared_error
0.9922259506393651
total_cost
0
area_under_roc_curve
0.9374166666666666 [0.993333,0.834167,0.977778,0.935278,0.905,0.994167,0.88,0.975556,0.941667,0.937222]
area_under_roc_curve
0.9349166666666667 [1,0.819722,0.949722,0.926667,0.903611,0.969444,0.9275,0.968333,0.965833,0.918333]
area_under_roc_curve
0.9374444444444445 [0.987778,0.867222,0.968611,0.955833,0.908056,0.961667,0.886944,0.950556,0.976389,0.911389]
area_under_roc_curve
0.9380833333333333 [0.998611,0.800833,0.986389,0.943611,0.952222,0.971389,0.952778,0.964167,0.964167,0.846667]
area_under_roc_curve
0.9346944444444445 [1,0.898056,0.934444,0.922778,0.883889,0.973056,0.933611,0.973889,0.943056,0.884167]
area_under_roc_curve
0.9489722222222222 [1,0.88,0.982778,0.972222,0.899167,0.969167,0.946944,0.980556,0.978611,0.880278]
area_under_roc_curve
0.9353055555555554 [0.999167,0.845,0.983056,0.949722,0.869167,0.953333,0.944722,0.979722,0.956944,0.872222]
area_under_roc_curve
0.9446388888888889 [0.997778,0.893611,0.957778,0.972222,0.856944,0.978889,0.910833,0.9825,0.943889,0.951944]
area_under_roc_curve
0.9388055555555556 [0.999722,0.829722,0.996111,0.948333,0.883056,0.963889,0.916389,0.982778,0.971111,0.896944]
area_under_roc_curve
0.9217222222222222 [1,0.928056,0.936667,0.884167,0.851111,0.985556,0.9,0.975,0.851389,0.905278]
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
0.5165918462464458 [0.844444,0.428571,0.571429,0.65,0.095238,0.689655,0.358974,0.734694,0.697674,0.095238]
kappa
0.5166666666666666
kappa
0.5555555555555556
kappa
0.5833333333333334
kappa
0.5722222222222222
kappa
0.5499999999999999
kappa
0.5833333333333334
kappa
0.5888888888888889
kappa
0.5833333333333334
kappa
0.5888888888888889
kappa
0.5333333333333333
kb_relative_information_score
5.888036251168926
kb_relative_information_score
5.952674670184515
kb_relative_information_score
5.880873889665151
kb_relative_information_score
5.923730068991883
kb_relative_information_score
5.905643409109407
kb_relative_information_score
6.068176976540311
kb_relative_information_score
5.966619643431151
kb_relative_information_score
6.012297565133696
kb_relative_information_score
5.958021680625893
kb_relative_information_score
5.553460541978675
mean_absolute_error
0.1785920461144199
mean_absolute_error
0.17857953970441606
mean_absolute_error
0.1785975211155264
mean_absolute_error
0.17858780335289762
mean_absolute_error
0.17859227405379507
mean_absolute_error
0.17854785097391596
mean_absolute_error
0.17857622928820358
mean_absolute_error
0.17856340601994977
mean_absolute_error
0.17857692832053562
mean_absolute_error
0.17868304890464692
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.6772044854765599 [0.76,0.75,0.444444,0.65,1,0.526316,0.368421,0.62069,0.652174,1]
predictive_accuracy
0.565
predictive_accuracy
0.6
predictive_accuracy
0.625
predictive_accuracy
0.615
predictive_accuracy
0.595
predictive_accuracy
0.625
predictive_accuracy
0.63
predictive_accuracy
0.625
predictive_accuracy
0.63
predictive_accuracy
0.58
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.565 [0.95,0.1,0.95,0.8,0,0.95,0.2,0.9,0.8,0]
recall
0.6 [1,0.15,0.85,0.85,0.05,0.85,0.55,0.8,0.9,0]
recall
0.625 [0.95,0.2,0.9,0.9,0.05,0.9,0.65,0.8,0.9,0]
recall
0.615 [1,0.2,0.9,0.8,0,0.85,0.55,0.95,0.9,0]
recall
0.595 [1,0.2,0.8,0.85,0.1,0.7,0.45,1,0.85,0]
recall
0.625 [1,0.2,0.95,0.95,0,0.9,0.35,1,0.9,0]
recall
0.63 [0.9,0.3,0.85,0.85,0.05,0.9,0.65,0.95,0.85,0]
recall
0.625 [0.95,0.35,0.85,0.95,0.05,0.9,0.5,0.95,0.75,0]
recall
0.63 [0.95,0.25,1,0.85,0,0.95,0.45,1,0.85,0]
recall
0.58 [0.95,0.3,0.8,0.65,0.05,1,0.35,0.9,0.75,0.05]
relative_absolute_error
0.9921780339690005
relative_absolute_error
0.9921085539134237
relative_absolute_error
0.9922084506418145
relative_absolute_error
0.9921544630716546
relative_absolute_error
0.9921793002988626
relative_absolute_error
0.9919325054106453
relative_absolute_error
0.9920901627122433
relative_absolute_error
0.9920189223330553
relative_absolute_error
0.992094046225199
relative_absolute_error
0.9926836050258173
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.2976720341305765
root_mean_squared_error
0.2976511438061322
root_mean_squared_error
0.2976793397941399
root_mean_squared_error
0.2976640680028266
root_mean_squared_error
0.2976729555212945
root_mean_squared_error
0.2975990583739035
root_mean_squared_error
0.2976456645890076
root_mean_squared_error
0.2976232249636564
root_mean_squared_error
0.2976460855973197
root_mean_squared_error
0.29782422236207695
root_relative_squared_error
0.992240113768589
root_relative_squared_error
0.9921704793537747
root_relative_squared_error
0.9922644659804669
root_relative_squared_error
0.9922135600094225
root_relative_squared_error
0.9922431850709823
root_relative_squared_error
0.9919968612463456
root_relative_squared_error
0.9921522152966925
root_relative_squared_error
0.992077416545522
root_relative_squared_error
0.9921536186577329
root_relative_squared_error
0.9927474078735904
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
10349.27377099848
usercpu_time_millis
9010.947762000797
usercpu_time_millis
10781.644100999983
usercpu_time_millis
10556.89636200077
usercpu_time_millis
12836.400084999696
usercpu_time_millis
11280.833773000268
usercpu_time_millis
10871.3687390009
usercpu_time_millis
9555.769728000087
usercpu_time_millis
10301.686692999283
usercpu_time_millis
11546.968535001724
usercpu_time_millis_testing
20.804716999919037
usercpu_time_millis_testing
12.665255000683828
usercpu_time_millis_testing
25.468150999586214
usercpu_time_millis_testing
33.11300399946049
usercpu_time_millis_testing
40.99111100003938
usercpu_time_millis_testing
16.825635999339283
usercpu_time_millis_testing
31.37689300092461
usercpu_time_millis_testing
30.51013000003877
usercpu_time_millis_testing
27.249751999988803
usercpu_time_millis_testing
28.66734000053839
usercpu_time_millis_training
10328.46905399856
usercpu_time_millis_training
8998.282507000113
usercpu_time_millis_training
10756.175950000397
usercpu_time_millis_training
10523.78335800131
usercpu_time_millis_training
12795.408973999656
usercpu_time_millis_training
11264.008137000928
usercpu_time_millis_training
10839.991845999975
usercpu_time_millis_training
9525.259598000048
usercpu_time_millis_training
10274.436940999294
usercpu_time_millis_training
11518.301195001186